Dataset Viewer
Auto-converted to Parquet Duplicate
timestamp
float32
frame_index
int64
observation.state
list
action
list
canonical_episode_uid
string
instruction
string
0
0
[ 0, 0, 0, 0, 0, 0, 1, 0, 0, 0.04497258737683296, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0, 0, 0, 0 ]
[ 0, 0, 0.04497258737683296, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
0.2
1
[ 0, 0, 0.008994517847895622, 0, 0, 0, 1, 0, 0, 0.04497258737683296, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.04497258737683296, 0, 0, 1 ]
[ 0, 0, 0.29104557633399963, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
0.4
2
[ 0, 0, 0.06720363348722458, 0, 0, 0, 1, 0, 0, 0.29104557633399963, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.29104557633399963, 0, 0, 1 ]
[ 0, 0, 0.7207877039909363, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
0.6
3
[ 0, 0, 0.21136116981506348, 0, 0, 0, 1, 0, 0, 0.7207877039909363, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.7207877039909363, 0, 0, 1 ]
[ 0, 0, 1.2720675468444824, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
0.8
4
[ 0, 0, 0.46577468514442444, 0, 0, 0, 1, 0, 0, 1.2720675468444824, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 1.2720675468444824, 0, 0, 1 ]
[ 0, 0, 1.8892937898635864, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
1
5
[ 0, 0, 0.8436334133148193, 0, 0, 0, 1, 0, 0, 1.8892937898635864, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 1.8892937898635864, 0, 0, 1 ]
[ 0, 0, 2.5234155654907227, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
1.2
6
[ 0, 0, 1.3483165502548218, 0, 0, 0, 1, 0, 0, 2.5234155654907227, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 2.5234155654907227, 0, 0, 1 ]
[ 0, 0, 3.1319215297698975, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
1.4
7
[ 0, 0, 1.9747008085250854, 0, 0, 0, 1, 0, 0, 3.1319215297698975, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 3.1319215297698975, 0, 0, 1 ]
[ 0, 0, 3.6788413524627686, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
1.6
8
[ 0, 0, 2.7104690074920654, 0, 0, 0, 1, 0, 0, 3.6788413524627686, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 3.6788413524627686, 0, 0, 1 ]
[ 0, 0, 4.134744167327881, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
1.8
9
[ 0, 0, 3.5374178886413574, 0, 0, 0, 1, 0, 0, 4.134744167327881, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.134744167327881, 0, 0, 1 ]
[ 0, 0, 4.476738929748535, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
2
10
[ 0, 0, 4.432765483856201, 0, 0, 0, 1, 0, 0, 4.476738929748535, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.476738929748535, 0, 0, 1 ]
[ 0, 0, 4.6884765625, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
2.2
11
[ 0, 0, 5.3704609870910645, 0, 0, 0, 1, 0, 0, 4.6884765625, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.6884765625, 0, 0, 1 ]
[ 0, 0, 4.760145664215088, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
2.4
12
[ 0, 0, 6.322490215301514, 0, 0, 0, 1, 0, 0, 4.760145664215088, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.760145664215088, 0, 0, 1 ]
[ 0, 0, 4.6884765625, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
2.6
13
[ 0, 0, 7.260185241699219, 0, 0, 0, 1, 0, 0, 4.6884765625, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.6884765625, 0, 0, 1 ]
[ 0, 0, 4.476738929748535, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
2.8
14
[ 0, 0, 8.155532836914062, 0, 0, 0, 1, 0, 0, 4.476738929748535, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.476738929748535, 0, 0, 1 ]
[ 0, 0, 4.134744167327881, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
3
15
[ 0, 0, 8.982481956481934, 0, 0, 0, 1, 0, 0, 4.134744167327881, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 4.134744167327881, 0, 0, 1 ]
[ 0, 0, 3.6788413524627686, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
3.2
16
[ 0, 0, 9.718250274658203, 0, 0, 0, 1, 0, 0, 3.6788413524627686, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 3.6788413524627686, 0, 0, 1 ]
[ 0, 0, 3.1319215297698975, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
3.4
17
[ 0, 0, 10.344634056091309, 0, 0, 0, 1, 0, 0, 3.1319215297698975, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 3.1319215297698975, 0, 0, 1 ]
[ 0, 0, 2.5234155654907227, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
3.6
18
[ 0, 0, 10.84931755065918, 0, 0, 0, 1, 0, 0, 2.5234155654907227, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 2.5234155654907227, 0, 0, 1 ]
[ 0, 0, 1.8892937898635864, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
3.8
19
[ 0, 0, 11.227176666259766, 0, 0, 0, 1, 0, 0, 1.8892937898635864, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 1.8892937898635864, 0, 0, 1 ]
[ 0, 0, 1.2720675468444824, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
4
20
[ 0, 0, 11.481590270996094, 0, 0, 0, 1, 0, 0, 1.2720675468444824, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 1.2720675468444824, 0, 0, 1 ]
[ 0, 0, 0.7207877039909363, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
4.2
21
[ 0, 0, 11.625747680664062, 0, 0, 0, 1, 0, 0, 0.7207877039909363, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.7207877039909363, 0, 0, 1 ]
[ 0, 0, 0.29104557633399963, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
4.4
22
[ 0, 0, 11.683956146240234, 0, 0, 0, 1, 0, 0, 0.29104557633399963, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.29104557633399963, 0, 0, 1 ]
[ 0, 0, 0.04497258737683296, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
4.6
23
[ 0, 0, 11.692951202392578, 0, 0, 0, 1, 0, 0, 0.04497258737683296, 0, 0, 0, -0.3490658402442932, 0, 0, 0, 0.04497258737683296, 0, 0, 1 ]
[ 0.014588378369808197, -0.013736208900809288, -0.00006562972703250125, -1.0471975803375244, 1.0769342184066772 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
4.8
24
[ 0.002917675767093897, -0.002747241873294115, 11.692937850952148, 0, 0, -0.10452846437692642, 0.9945219159126282, 0.017125505954027176, -0.010402945801615715, -0.00006562972703250125, 0, 0, -1.0471975803375244, -0.13367901742458344, 1.0769342184066772, 0.014588378369808197, -0.0137362...
[ 0.1159641370177269, -0.0704428032040596, -0.00044440702185966074, -0.2009153962135315, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
5
25
[ 0.02267450839281082, -0.021349994465708733, 11.692849159240723, 0, 0, -0.1244874969124794, 0.9922211766242981, 0.11870037764310837, -0.06572739779949188, -0.00044440702185966074, 0, 0, -0.2009153962135315, -0.13367901742458344, 0, 0.1159641370177269, -0.0704428032040596, -0.0004444...
[ 0.31002333760261536, -0.17166775465011597, -0.001160708605311811, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
5.2
26
[ 0.07427568733692169, -0.06993693113327026, 11.69261646270752, 0, 0, -0.1244874969124794, 0.9922211766242981, 0.31002333760261536, -0.17166775465011597, -0.001160708605311811, 0, 0, 0, -0.13367901742458344, 0, 0.31002333760261536, -0.17166775465011597, -0.001160708605311811, 0, ...
[ 0.5794782042503357, -0.3208717107772827, -0.0021695313043892384, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
5.4
27
[ 0.17072570323944092, -0.16075289249420166, 11.692182540893555, 0, 0, -0.1244874969124794, 0.9922211766242981, 0.5794782042503357, -0.3208717107772827, -0.0021695313043892384, 0, 0, 0, -0.13367901742458344, 0, 0.5794782042503357, -0.3208717107772827, -0.0021695313043892384, 0, 0...
[ 0.9150446653366089, -0.506683349609375, -0.0034258717205375433, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
5.6
28
[ 0.3230283856391907, -0.30415892601013184, 11.691497802734375, 0, 0, -0.1244874969124794, 0.9922211766242981, 0.9150446653366089, -0.506683349609375, -0.0034258717205375433, 0, 0, 0, -0.13367901742458344, 0, 0.9150446653366089, -0.506683349609375, -0.0034258717205375433, 0, 0, ...
[ 1.3047025203704834, -0.7224466800689697, -0.004884726833552122, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
5.8
29
[ 0.5401868224143982, -0.5086321830749512, 11.690521240234375, 0, 0, -0.1244874969124794, 0.9922211766242981, 1.3047025203704834, -0.7224466800689697, -0.004884726833552122, 0, 0, 0, -0.13367901742458344, 0, 1.3047025203704834, -0.7224466800689697, -0.004884726833552122, 0, 0, ...
[ 1.7364312410354614, -0.9615058302879333, -0.006501093041151762, 0, 0 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
6
30
[ 0.8292034268379211, -0.7807661294937134, 11.689220428466797, 0, 0, -0.1244874969124794, 0.9922211766242981, 1.7364312410354614, -0.9615058302879333, -0.006501093041151762, 0, 0, 0, -0.13367901742458344, 0, 1.7364312410354614, -0.9615058302879333, -0.006501093041151762, 0, 0, ...
[ 2.277533769607544, -1.160351037979126, -0.017919426783919334, 0.009368544444441795, -0.0023606172762811184 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
6.2
31
[ 1.2132618427276611, -1.1181710958480835, 11.685636520385742, 0, 0, -0.12355788052082062, 0.9923373460769653, 2.275355577468872, -1.1646164655685425, -0.017919426783919334, 0, 0, 0.009368544444441795, -0.1341511458158493, -0.0023606172762811184, 2.277533769607544, -1.160351037979126, ...
[ 2.8341853618621826, -1.3744291067123413, -0.029416142031550407, 0.018747607246041298, -0.0047238850966095924 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
6.4
32
[ 1.6953835487365723, -1.5236648321151733, 11.679753303527832, 0, 0, -0.12169726192951202, 0.992567241191864, 2.829011917114258, -1.3850462436676025, -0.029416142031550407, 0, 0, 0.018747607246041298, -0.13509592413902283, -0.0047238850966095924, 2.8341853618621826, -1.3744291067123413...
[ 3.417625904083252, -1.5819423198699951, -0.04394509270787239, 0.021724041551351547, -0.00566814886406064 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
6.6
33
[ 2.2822275161743164, -1.9958114624023438, 11.670964241027832, 0, 0, -0.11954072117805481, 0.9928293228149414, 3.4107205867767334, -1.5967762470245361, -0.04394509270787239, 0, 0, 0.021724041551351547, -0.13622954487800598, -0.00566814886406064, 3.417625904083252, -1.5819423198699951, ...
[ 4.046800136566162, -1.7540401220321655, -0.06505130231380463, 0.0243515707552433, -0.0066649033688008785 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
6.8
34
[ 2.9851858615875244, -2.5287086963653564, 11.657954216003418, 0, 0, -0.11712267249822617, 0.9931174516677856, 4.038209438323975, -1.7737284898757935, -0.06505130231380463, 0, 0, 0.0243515707552433, -0.13756252825260162, -0.0066649033688008785, 4.046800136566162, -1.7540401220321655, ...
[ 4.723739147186279, -1.8732248544692993, -0.09438390284776688, 0.026477372273802757, -0.007749383337795734 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
7
35
[ 3.816859245300293, -3.1128549575805664, 11.639077186584473, 0, 0, -0.1144927516579628, 0.9934240579605103, 4.7137532234191895, -1.8982129096984863, -0.09438390284776688, 0, 0, 0.026477372273802757, -0.13911239802837372, -0.007749383337795734, 4.723739147186279, -1.8732248544692993, ...
[ 5.358630180358887, -1.9899033308029175, -0.1223747730255127, 0.028445448726415634, -0.008795770816504955 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
7.2
36
[ 4.769955158233643, -3.7441976070404053, 11.614602088928223, 0, 0, -0.11166645586490631, 0.993745744228363, 5.347222805023193, -2.0203566551208496, -0.1223747730255127, 0, 0, 0.028445448726415634, -0.1408715546131134, -0.008795770816504955, 5.358630180358887, -1.9899033308029175, -0...
[ 5.998339653015137, -2.0548079013824463, -0.15606041252613068, 0.02984810620546341, -0.009880691766738892 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
7.4
37
[ 5.8484978675842285, -4.411159992218018, 11.583390235900879, 0, 0, -0.10869982093572617, 0.9940746426582336, 5.985966682434082, -2.09057879447937, -0.15606041252613068, 0, 0, 0.02984810620546341, -0.1428477019071579, -0.009880691766738892, 5.998339653015137, -2.0548079013824463, -0....
[ 6.612602710723877, -2.0730338096618652, -0.19307275116443634, 0.030706537887454033, -0.010986974462866783 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
7.6
38
[ 7.050164222717285, -5.101780891418457, 11.54477596282959, 0, 0, -0.10564685612916946, 0.9944037199020386, 6.5997467041015625, -2.1136045455932617, -0.19307275116443634, 0, 0, 0.030706537887454033, -0.14504508674144745, -0.010986974462866783, 6.612602710723877, -2.0730338096618652, ...
[ 7.169984817504883, -2.0499722957611084, -0.2308986932039261, 0.031044529750943184, -0.012089116498827934 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
7.8
39
[ 8.366005897521973, -5.803922176361084, 11.49859619140625, 0, 0, -0.10255926847457886, 0.9947268962860107, 7.157118797302246, -2.0944502353668213, -0.2308986932039261, 0, 0, 0.031044529750943184, -0.14746291935443878, -0.012089116498827934, 7.169984817504883, -2.0499722957611084, -0...
[ 7.638375759124756, -1.991011619567871, -0.2669470012187958, 0.03088676743209362, -0.013150999322533607 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
8
40
[ 9.780296325683594, -6.5054497718811035, 11.445206642150879, 0, 0, -0.09948639571666718, 0.9950389266014099, 7.6259307861328125, -2.0381581783294678, -0.2669470012187958, 0, 0, 0.03088676743209362, -0.15009310841560364, -0.013150999322533607, 7.638375759124756, -1.991011619567871, -...
[ 7.985501766204834, -1.9013198614120483, -0.29861530661582947, 0.030257008969783783, -0.014123025350272655 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
8.2
41
[ 11.27049446105957, -7.194389343261719, 11.385483741760254, 0, 0, -0.09647525101900101, 0.9953354001045227, 7.973849773406982, -1.9496082067489624, -0.29861530661582947, 0, 0, 0.030257008969783783, -0.15291771292686462, -0.014123025350272655, 7.985501766204834, -1.9013198614120483, ...
[ 8.206099510192871, -1.7908880710601807, -0.3244584798812866, 0.02926572412252426, -0.014988968148827553 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
8.4
42
[ 12.81237506866455, -7.861096382141113, 11.320591926574707, 0, 0, -0.09356192499399185, 0.9956134557723999, 8.195476531982422, -1.8388886451721191, -0.3244584798812866, 0, 0, 0.02926572412252426, -0.1559155136346817, -0.014988968148827553, 8.206099510192871, -1.7908880710601807, -0....
[ 8.385708808898926, -1.6833728551864624, -0.3472338616847992, 0.02828347682952881, -0.015899470075964928 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
8.6
43
[ 14.397430419921875, -8.50433349609375, 11.251145362854004, 0, 0, -0.09074561297893524, 0.9958741068840027, 8.376052856445312, -1.730781078338623, -0.3472338616847992, 0, 0, 0.02828347682952881, -0.1590954065322876, -0.015899470075964928, 8.385708808898926, -1.6833728551864624, -0.3...
[ 8.548140525817871, -1.5840868949890137, -0.36784014105796814, 0.027402006089687347, -0.01690582185983658 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
8.8
44
[ 16.021638870239258, -9.124935150146484, 11.177577018737793, 0, 0, -0.08801638334989548, 0.9961190223693848, 8.53933048248291, -1.630910038948059, -0.36784014105796814, 0, 0, 0.027402006089687347, -0.1624765694141388, -0.01690582185983658, 8.548140525817871, -1.5840868949890137, -0....
[ 8.693156242370605, -1.4927997589111328, -0.38627731800079346, 0.02662321925163269, -0.018018068745732307 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
9
45
[ 17.680980682373047, -9.723737716674805, 11.100321769714355, 0, 0, -0.08536408096551895, 0.9963498115539551, 8.68508529663086, -1.5390663146972656, -0.38627731800079346, 0, 0, 0.02662321925163269, -0.16608019173145294, -0.018018068745732307, 8.693156242370605, -1.4927997589111328, -...
[ 8.820539474487305, -1.4093140363693237, -0.4025454521179199, 0.025950398296117783, -0.01924767531454563 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
9.2
46
[ 19.371431350708008, -10.301575660705566, 11.01981258392334, 0, 0, -0.08277823030948639, 0.996567964553833, 8.813106536865234, -1.4550741910934448, -0.4025454521179199, 0, 0, 0.025950398296117783, -0.16992972791194916, -0.01924767531454563, 8.820539474487305, -1.4093140363693237, -0...
[ 8.930089950561523, -1.33346426486969, -0.41664448380470276, 0.025388358160853386, -0.020607739686965942 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
9.4
47
[ 21.088972091674805, -10.859286308288574, 10.936483383178711, 0, 0, -0.08024784177541733, 0.9967749118804932, 8.92320442199707, -1.3787909746170044, -0.41664448380470276, 0, 0, 0.025388358160853386, -0.17405126988887787, -0.020607739686965942, 8.930089950561523, -1.33346426486969, -...
[ 9.021623611450195, -1.2651171684265137, -0.42857441306114197, 0.024943657219409943, -0.02211320959031582 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
9.6
48
[ 22.829580307006836, -11.397703170776367, 10.85076904296875, 0, 0, -0.07776127755641937, 0.9969720244407654, 9.0152006149292, -1.310107707977295, -0.42857441306114197, 0, 0, 0.024943657219409943, -0.17847390472888947, -0.02211320959031582, 9.021623611450195, -1.2651171684265137, -0....
[ 9.094968795776367, -1.204170823097229, -0.4383352994918823, 0.024624867364764214, -0.02378116548061371 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
9.8
49
[ 24.5892333984375, -11.917662620544434, 10.763101577758789, 0, 0, -0.0753060132265091, 0.9971604943275452, 9.08892822265625, -1.248948574066162, -0.4383352994918823, 0, 0, 0.024624867364764214, -0.18323014676570892, -0.02378116548061371, 9.094968795776367, -1.204170823097229, -0.438...
[ 9.149965286254883, -1.1505558490753174, -0.44592708349227905, 0.024442892521619797, -0.02563111111521721 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
10
50
[ 26.36391258239746, -12.420000076293945, 10.673916816711426, 0, 0, -0.07286843657493591, 0.9973415732383728, 9.144230842590332, -1.1952722072601318, -0.44592708349227905, 0, 0, 0.024442892521619797, -0.18835636973381042, -0.02563111111521721, 9.149965286254883, -1.1505558490753174, ...
[ 9.186461448669434, -1.1042346954345703, -0.45134979486465454, 0.02441137470304966, -0.02768532559275627 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
10.2
51
[ 28.149593353271484, -12.905550956726074, 10.583646774291992, 0, 0, -0.07043357938528061, 0.9975164532661438, 9.180960655212402, -1.149072289466858, -0.45134979486465454, 0, 0, 0.02441137470304966, -0.1938934326171875, -0.02768532559275627, 9.186461448669434, -1.1042346954345703, -0...
[ 9.204314231872559, -1.0652035474777222, -0.4546034038066864, 0.024547196924686432, -0.02996925078332424 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
10.4
52
[ 29.9422550201416, -13.375151634216309, 10.492725372314453, 0, 0, -0.06798474490642548, 0.9976863861083984, 9.198973655700684, -1.1103785037994385, -0.4546034038066864, 0, 0, 0.024547196924686432, -0.19988727569580078, -0.02996925078332424, 9.204314231872559, -1.0652035474777222, -0...
[ 9.203383445739746, -1.0334919691085815, -0.455687940120697, 0.024871094152331352, -0.03251192346215248 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
10.6
53
[ 31.737878799438477, -13.829635620117188, 10.401588439941406, 0, 0, -0.06550318002700806, 0.9978523850440979, 9.198128700256348, -1.079258680343628, -0.455687940120697, 0, 0, 0.024871094152331352, -0.2063896656036377, -0.03251192346215248, 9.203383445739746, -1.0334919691085815, -0....
[ 9.183531761169434, -1.0091651678085327, -0.4546034038066864, 0.025408418849110603, -0.035346440970897675 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
10.8
54
[ 33.53243637084961, -14.269840240478516, 10.310667037963867, 0, 0, -0.06296759098768234, 0.9980155825614929, 9.178285598754883, -1.0558197498321533, -0.4546034038066864, 0, 0, 0.025408418849110603, -0.21345895528793335, -0.035346440970897675, 9.183531761169434, -1.0091651678085327, ...
[ 9.144621849060059, -0.9923245310783386, -0.45134979486465454, 0.026190070435404778, -0.038510460406541824 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
11
55
[ 35.32191467285156, -14.696599960327148, 10.22039794921875, 0, 0, -0.06035356596112251, 0.9981770515441895, 9.139298439025879, -1.0402103662490845, -0.45134979486465454, 0, 0, 0.026190070435404778, -0.22116105258464813, -0.038510460406541824, 9.144621849060059, -0.9923245310783386, ...
[ 9.086509704589844, -0.9831094145774841, -0.44592708349227905, 0.027253655716776848, -0.042046692222356796 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
11.2
56
[ 37.10228729248047, -15.110751152038574, 10.13121223449707, 0, 0, -0.057632945477962494, 0.9983378648757935, 9.081016540527344, -1.0326226949691772, -0.44592708349227905, 0, 0, 0.027253655716776848, -0.2295703887939453, -0.042046692222356796, 9.086509704589844, -0.9831094145774841, ...
[ 9.00904655456543, -0.9816984534263611, -0.4383352994918823, 0.028644900768995285, -0.046003349125385284 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
11.4
57
[ 38.86953353881836, -15.513128280639648, 10.04354476928711, 0, 0, -0.054772984236478806, 0.9984988570213318, 9.003274917602539, -1.033294677734375, -0.4383352994918823, 0, 0, 0.028644900768995285, -0.23877105116844177, -0.046003349125385284, 9.00904655456543, -0.9816984534263611, -0...
[ 8.912067413330078, -0.9883107542991638, -0.42857441306114197, 0.030419399961829185, -0.050434499979019165 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
11.6
58
[ 40.619632720947266, -15.90456771850586, 9.957830429077148, 0, 0, -0.05173536390066147, 0.9986608028411865, 8.905890464782715, -1.042512059211731, -0.42857441306114197, 0, 0, 0.030419399961829185, -0.24885796010494232, -0.050434499979019165, 8.912067413330078, -0.9883107542991638, -...
[ 8.795390129089355, -1.0032068490982056, -0.41664448380470276, 0.03264473378658295, -0.05540018156170845 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
11.8
59
[ 42.34856033325195, -16.285903930664062, 9.87450122833252, 0, 0, -0.0484749935567379, 0.998824417591095, 8.788653373718262, -1.0606096982955933, -0.41664448380470276, 0, 0, 0.03264473378658295, -0.25993800163269043, -0.05540018156170845, 8.795390129089355, -1.0032068490982056, -0.41...
[ 8.658803939819336, -1.0266889333724976, -0.4025454521179199, 0.03540308028459549, -0.06096610426902771 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
12
60
[ 44.05229949951172, -16.657974243164062, 9.793992042541504, 0, 0, -0.044938549399375916, 0.9989897608757019, 8.65131664276123, -1.0879724025726318, -0.4025454521179199, 0, 0, 0.03540308028459549, -0.27213120460510254, -0.06096610426902771, 8.658803939819336, -1.0266889333724976, -0....
[ 8.502059936523438, -1.0590989589691162, -0.38627731800079346, 0.03879430890083313, -0.06720267236232758 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
12.2
61
[ 45.72682571411133, -17.0216121673584, 9.716736793518066, 0, 0, -0.04106270894408226, 0.9991565942764282, 8.493586540222168, -1.1250327825546265, -0.38627731800079346, 0, 0, 0.03879430890083313, -0.28557175397872925, -0.06720267236232758, 8.502059936523438, -1.0590989589691162, -0.3...
[ 8.324860572814941, -1.1008154153823853, -0.36784014105796814, 0.04293971508741379, -0.0741829052567482 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
12.4
62
[ 47.36811447143555, -17.377653121948242, 9.643168449401855, 0, 0, -0.0367719940841198, 0.9993236660957336, 8.315099716186523, -1.1722674369812012, -0.36784014105796814, 0, 0, 0.04293971508741379, -0.30040833353996277, -0.0741829052567482, 8.324860572814941, -1.1008154153823853, -0.3...
[ 8.12684154510498, -1.1522459983825684, -0.3472338616847992, 0.047986287623643875, -0.08197858184576035 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
12.6
63
[ 48.97215270996094, -17.7269344329834, 9.573721885681152, 0, 0, -0.03197620436549187, 0.9994886517524719, 8.115409851074219, -1.230187177658081, -0.3472338616847992, 0, 0, 0.047986287623643875, -0.31680405139923096, -0.08197858184576035, 8.12684154510498, -1.1522459983825684, -0.347...
[ 5.424664497375488, -1.680340051651001, 2.330209255218506, 0.0016564043471589684, -0.008229579776525497 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
12.8
64
[ 50.03338623046875, -18.131664276123047, 10.039763450622559, 0, 0, -0.03181064873933792, 0.9994938969612122, 5.424107551574707, -1.682137131690979, 2.330209255218506, 0, 0, 0.0016564043471589684, -0.3184499442577362, -0.008229579776525497, 5.424664497375488, -1.680340051651001, 2.33...
[ 0.9683151245117188, -2.1671054363250732, 6.064215660095215, 0.026144981384277344, -0.058114249259233475 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
13
65
[ 50.1990966796875, -18.576522827148438, 11.252606391906738, 0, 0, -0.029197368770837784, 0.9995736479759216, 0.9569701552391052, -2.1721391677856445, 6.064215660095215, 0, 0, 0.026144981384277344, -0.330072820186615, -0.058114249259233475, 0.9683151245117188, -2.1671054363250732, 6....
[ -1.8914964199066162, -2.4554572105407715, 8.54430103302002, 0.07252560555934906, -0.1468866765499115 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
13.2
66
[ 49.79277420043945, -19.044696807861328, 12.961466789245605, 0, 0, -0.021947195753455162, 0.9997591376304626, -1.9269129037857056, -2.4277634620666504, 8.54430103302002, 0, 0, 0.07252560555934906, -0.3594501316547394, -0.1468866765499115, -1.8914964199066162, -2.4554572105407715, 8....
[ -3.729957103729248, -2.4130024909973145, 9.780380249023438, 0.12050746381282806, -0.24158072471618652 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
13.4
67
[ 49.02632522583008, -19.494094848632812, 14.917543411254883, 0, 0, -0.009898049756884575, 0.9999510049819946, -3.787025213241577, -2.3224127292633057, 9.780380249023438, 0, 0, 0.12050746381282806, -0.40776628255844116, -0.24158072471618652, -3.729957103729248, -2.4130024909973145, 9...
[ -3.3361170291900635, -1.8753341436386108, 8.63424015045166, 0.015285145491361618, -0.030262067914009094 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
13.6
68
[ 48.351806640625, -19.855880737304688, 16.644390106201172, 0, 0, -0.008369598537683487, 0.9999649524688721, -3.341834306716919, -1.8651268482208252, 8.63424015045166, 0, 0, 0.015285145491361618, -0.41381871700286865, -0.030262067914009094, -3.3361170291900635, -1.8753341436386108, 8...
[ -2.3332955837249756, -1.0129045248031616, 6.131472587585449, 0.04680892452597618, -0.09051885455846786 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
13.8
69
[ 47.8818244934082, -20.050621032714844, 17.870685577392578, 0, 0, -0.0036887959577143192, 0.9999932050704956, -2.3426759243011475, -0.9910166263580322, 6.131472587585449, 0, 0, 0.04680892452597618, -0.43192246556282043, -0.09051885455846786, -2.3332955837249756, -1.0129045248031616, ...
[ -1.65316641330719, -0.4180140495300293, 4.5528082847595215, 0.07369692623615265, -0.14261609315872192 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
14
70
[ 47.55058288574219, -20.13178253173828, 18.781248092651367, 0, 0, 0.003680880181491375, 0.9999932050704956, -1.65914785861969, -0.3936028778553009, 4.5528082847595215, 0, 0, 0.07369692623615265, -0.46044570207595825, -0.14261609315872192, -1.65316641330719, -0.4180140495300293, 4.55...
[ -1.019684076309204, 0.060437534004449844, 3.205724000930786, 0.08806780725717545, -0.1687784641981125 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
14.2
71
[ 47.346561431884766, -20.121196746826172, 19.422391891479492, 0, 0, 0.012487344443798065, 0.9999220371246338, -1.0184614658355713, 0.07838749885559082, 3.205724000930786, 0, 0, 0.08806780725717545, -0.4942013919353485, -0.1687784641981125, -1.019684076309204, 0.060437534004449844, 3...
[ 1.3918068408966064, 0.9888365268707275, 0.1997416615486145, 0.21081310510635376, -0.4286285936832428 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
14.4
72
[ 47.619895935058594, -19.916540145874023, 19.462339401245117, 0, 0, 0.03356267511844635, 0.999436616897583, 1.4322495460510254, 0.9292929172515869, 0.1997416615486145, 0, 0, 0.21081310510635376, -0.5799270868301392, -0.4286285936832428, 1.3918068408966064, 0.9888365268707275, 0.1997...
[ 1.4322495460510254, 0.9292929172515869, 0.1997416615486145, -0.006755991838872433, -0.005714357830584049 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
14.6
73
[ 47.89323425292969, -19.711883544921875, 19.502288818359375, 0, 0, 0.032887451350688934, 0.9994590878486633, 1.430992603302002, 0.9312273263931274, 0.1997416615486145, 0, 0, -0.006755991838872433, -0.5810699462890625, -0.005714357830584049, 1.4322495460510254, 0.9292929172515869, 0....
[ 1.403092861175537, 0.9081456661224365, 0.18476104736328125, -0.005917226895689964, -0.0108660152181983 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
14.8
74
[ 48.16130447387695, -19.51219940185547, 19.539241790771484, 0, 0, 0.03229604288935661, 0.9994783401489258, 1.4020171165466309, 0.9098054766654968, 0.18476104736328125, 0, 0, -0.005917226895689964, -0.583243191242218, -0.0108660152181983, 1.403092861175537, 0.9081456661224365, 0.1847...
[ 1.3741446733474731, 0.8866907954216003, 0.1697804182767868, -0.005070879589766264, -0.004042580723762512 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
15
75
[ 48.424110412597656, -19.317487716674805, 19.573196411132812, 0, 0, 0.03178921341896057, 0.9994946122169495, 1.3732446432113647, 0.8880839943885803, 0.1697804182767868, 0, 0, -0.005070879589766264, -0.5840516686439514, -0.004042580723762512, 1.3741446733474731, 0.8866907954216003, 0...
[ 1.3732446432113647, 0.8880839943885803, 0.1697804182767868, -0.005079425871372223, 0.011944101192057133 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
15.2
76
[ 48.686920166015625, -19.122777938842773, 19.607152938842773, 0, 0, 0.031281523406505585, 0.9995105862617493, 1.3723417520523071, 0.8894785642623901, 0.1697804182767868, 0, 0, -0.005079425871372223, -0.5816628932952881, 0.011944101192057133, 1.3732446432113647, 0.8880839943885803, 0...
[ 1.3321784734725952, 0.8547687530517578, 0.14531205594539642, -0.0037980403285473585, -0.004955597221851349 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
15.4
77
[ 48.942142486572266, -18.935497283935547, 19.636215209960938, 0, 0, 0.03090190328657627, 0.9995224475860596, 1.3315287828445435, 0.8557804226875305, 0.14531205594539642, 0, 0, -0.0037980403285473585, -0.5826539993286133, -0.004955597221851349, 1.3321784734725952, 0.8547687530517578, ...
[ 1.3315287828445435, 0.8557804226875305, 0.14531205594539642, -0.0038023549132049084, -0.0036273261066526175 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
15.6
78
[ 49.197364807128906, -18.74821662902832, 19.6652774810791, 0, 0, 0.030521847307682037, 0.9995340704917908, 1.3308775424957275, 0.8567927479743958, 0.14531205594539642, 0, 0, -0.0038023549132049084, -0.5833794474601746, -0.0036273261066526175, 1.3315287828445435, 0.8557804226875305, ...
[ 1.316544771194458, 0.8437759280204773, 0.13523758947849274, -0.0033217708114534616, -0.007334970869123936 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
15.8
79
[ 49.44989013671875, -18.563711166381836, 19.692325592041016, 0, 0, 0.030189823359251022, 0.9995442032814026, 1.3159838914871216, 0.844650387763977, 0.13523758947849274, 0, 0, -0.0033217708114534616, -0.5848464369773865, -0.007334970869123936, 1.316544771194458, 0.8437759280204773, 0...
[ 1.3016597032546997, 0.8316240310668945, 0.12516312301158905, -0.002841045381501317, -0.00017330011178273708 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
16
80
[ 49.69970703125, -18.381977081298828, 19.717357635498047, 0, 0, 0.02990584634244442, 0.9995527267456055, 1.3011869192123413, 0.832363486289978, 0.12516312301158905, 0, 0, -0.002841045381501317, -0.5848811268806458, -0.00017330011178273708, 1.3016597032546997, 0.8316240310668945, 0.1...
[ 1.3011869192123413, 0.832363486289978, 0.12516312301158905, -0.0028417918365448713, -0.004961659200489521 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
16.200001
81
[ 49.949527740478516, -18.200244903564453, 19.74239158630371, 0, 0, 0.0296217929571867, 0.9995611906051636, 1.3007136583328247, 0.8331028819084167, 0.12516312301158905, 0, 0, -0.0028417918365448713, -0.5858734250068665, -0.004961659200489521, 1.3011869192123413, 0.832363486289978, 0....
[ 1.2805250883102417, 0.8135812282562256, 0.10843350738286972, -0.0021179437171667814, -0.0003903271572198719 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
16.4
82
[ 50.1955451965332, -18.022647857666016, 19.76407814025879, 0, 0, 0.029410092160105705, 0.999567449092865, 1.2801804542541504, 0.8141235709190369, 0.10843350738286972, 0, 0, -0.0021179437171667814, -0.5859515070915222, -0.0003903271572198719, 1.2805250883102417, 0.8135812282562256, 0...
[ 1.2801804542541504, 0.8141235709190369, 0.10843350738286972, -0.0021191316191107035, -0.006763577926903963 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
16.6
83
[ 50.441566467285156, -17.845050811767578, 19.785764694213867, 0, 0, 0.02919827029109001, 0.9995736479759216, 1.2798352241516113, 0.8146660923957825, 0.10843350738286972, 0, 0, -0.0021191316191107035, -0.5873042345046997, -0.006763577926903963, 1.2801804542541504, 0.8141235709190369, ...
[ 1.272844672203064, 0.8073585629463196, 0.10143184661865234, -0.001847361447289586, -0.0018078350694850087 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
16.799999
84
[ 50.686275482177734, -17.668994903564453, 19.80605125427246, 0, 0, 0.029013611376285553, 0.9995790123939514, 1.2725462913513184, 0.8078287839889526, 0.10143184661865234, 0, 0, -0.001847361447289586, -0.5876657962799072, -0.0018078350694850087, 1.272844672203064, 0.8073585629463196, ...
[ 1.2655584812164307, 0.8005186915397644, 0.09443017840385437, -0.030012115836143494, -0.024224111810326576 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
17
85
[ 50.9296760559082, -17.49448013305664, 19.824935913085938, 0, 0, 0.026013536378741264, 0.9996615648269653, 1.2607306241989136, 0.8081006407737732, 0.09443017840385437, 0, 0, -0.030012115836143494, -0.5925106406211853, -0.024224111810326576, 1.2655584812164307, 0.8005186915397644, 0....
[ 1.2607306241989136, 0.8081006407737732, 0.09443017840385437, -0.03058493323624134, -0.024439653381705284 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
17.200001
86
[ 51.173072814941406, -17.319963455200195, 19.843822479248047, 0, 0, 0.022955961525440216, 0.999736487865448, 1.2557638883590698, 0.8157973885536194, 0.09443017840385437, 0, 0, -0.03058493323624134, -0.5973985195159912, -0.024439653381705284, 1.2607306241989136, 0.8081006407737732, 0...
[ 1.2464483976364136, 0.8047540783882141, 0.08261717855930328, -0.030747804790735245, -0.024182209745049477 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
17.4
87
[ 51.41471481323242, -17.147741317749023, 19.8603458404541, 0, 0, 0.01988188736140728, 0.9998023509979248, 1.2414759397506714, 0.8124039173126221, 0.08261717855930328, 0, 0, -0.030747804790735245, -0.602234959602356, -0.024182209745049477, 1.2464483976364136, 0.8047540783882141, 0.08...
[ 1.2414759397506714, 0.8124039173126221, 0.08261717855930328, -0.031336769461631775, -0.024390848353505135 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
17.6
88
[ 51.65635299682617, -16.97551727294922, 19.876869201660156, 0, 0, 0.016748737543821335, 0.9998597502708435, 1.23635995388031, 0.820168673992157, 0.08261717855930328, 0, 0, -0.031336769461631775, -0.6071131825447083, -0.024390848353505135, 1.2414759397506714, 0.8124039173126221, 0.08...
[ 1.2333827018737793, 0.8160117864608765, 0.07759758085012436, -0.03177766874432564, -0.024412592872977257 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
17.799999
89
[ 51.89742660522461, -16.80414390563965, 19.89238929748535, 0, 0, 0.013571337796747684, 0.999907910823822, 1.228171706199646, 0.8238340616226196, 0.07759758085012436, 0, 0, -0.03177766874432564, -0.6119956970214844, -0.024412592872977257, 1.2333827018737793, 0.8160117864608765, 0.077...
[ 1.2252209186553955, 0.8196583390235901, 0.07257797569036484, -0.03222654387354851, -0.02443048730492592 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
18
90
[ 52.13793182373047, -16.633623123168945, 19.906904220581055, 0, 0, 0.010348915122449398, 0.9999464750289917, 1.2199125289916992, 0.8275381922721863, 0.07257797569036484, 0, 0, -0.03222654387354851, -0.616881787776947, -0.02443048730492592, 1.2252209186553955, 0.8196583390235901, 0.0...
[ 1.2199125289916992, 0.8275381922721863, 0.07257797569036484, -0.03285078704357147, -0.024630477651953697 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
18.200001
91
[ 52.37843322753906, -16.46310043334961, 19.921419143676758, 0, 0, 0.0070639620535075665, 0.9999750256538391, 1.214449167251587, 0.8355352878570557, 0.07257797569036484, 0, 0, -0.03285078704357147, -0.621807873249054, -0.024630477651953697, 1.2199125289916992, 0.8275381922721863, 0.0...
[ 1.2109395265579224, 0.8292801380157471, 0.06398706138134003, -0.03323877602815628, -0.02453593537211418 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
18.4
92
[ 52.618255615234375, -16.293840408325195, 19.93421745300293, 0, 0, 0.00374013464897871, 0.9999930262565613, 1.205399990081787, 0.8373118042945862, 0.06398706138134003, 0, 0, -0.03323877602815628, -0.6267150640487671, -0.02453593537211418, 1.2109395265579224, 0.8292801380157471, 0.06...
[ 1.205399990081787, 0.8373118042945862, 0.06398706138134003, -0.033887382596731186, -0.024729201570153236 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
18.6
93
[ 52.85807418823242, -16.12457847595215, 19.9470157623291, 0, 0, 0.0003514052659738809, 0.9999999403953552, 1.199697494506836, 0.8454620838165283, 0.06398706138134003, 0, 0, -0.033887382596731186, -0.6316608786582947, -0.024729201570153236, 1.205399990081787, 0.8373118042945862, 0.06...
[ 1.1987882852554321, 0.8431334495544434, 0.06028779223561287, -0.034456536173820496, -0.02480415627360344 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
18.799999
94
[ 53.097713470458984, -15.95578384399414, 19.95907211303711, 0, 0, -0.003094243351370096, 0.999995231628418, 1.1929495334625244, 0.851374626159668, 0.06028779223561287, 0, 0, -0.034456536173820496, -0.6366217136383057, -0.02480415627360344, 1.1987882852554321, 0.8431334495544434, 0.0...
[ 1.1920562982559204, 0.8490397930145264, 0.05658852308988571, -0.035038452595472336, -0.024875272065401077 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
19
95
[ 53.33717346191406, -15.787454605102539, 19.97039031982422, 0, 0, -0.0065980455838143826, 0.999978244304657, 1.1860772371292114, 0.8573724031448364, 0.05658852308988571, 0, 0, -0.035038452595472336, -0.641596794128418, -0.024875272065401077, 1.1920562982559204, 0.8490397930145264, 0...
[ 1.1860772371292114, 0.8573724031448364, 0.05658852308988571, -0.03573122248053551, -0.025057755410671234 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
19.200001
96
[ 53.576629638671875, -15.619125366210938, 19.981708526611328, 0, 0, -0.010171039961278439, 0.999948263168335, 1.1799200773239136, 0.8658264875411987, 0.05658852308988571, 0, 0, -0.03573122248053551, -0.6466083526611328, -0.025057755410671234, 1.1860772371292114, 0.8573724031448364, ...
[ 1.1793038845062256, 0.8623819351196289, 0.05017979443073273, -0.036295827478170395, -0.025053678080439568 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
19.4
97
[ 53.81595230102539, -15.451481819152832, 19.991743087768555, 0, 0, -0.013800360262393951, 0.9999047517776489, 1.173012614250183, 0.870919942855835, 0.05017979443073273, 0, 0, -0.036295827478170395, -0.6516190767288208, -0.025053678080439568, 1.1793038845062256, 0.8623819351196289, 0...
[ 1.173012614250183, 0.870919942855835, 0.05017979443073273, -0.03701970726251602, -0.02522769756615162 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
19.6
98
[ 54.05527114868164, -15.283839225769043, 20.001779556274414, 0, 0, -0.01750187575817108, 0.9998468160629272, 1.166532278060913, 0.8795809149742126, 0.05017979443073273, 0, 0, -0.03701970726251602, -0.6566646099090576, -0.02522769756615162, 1.173012614250183, 0.870919942855835, 0.050...
[ 1.1666228771209717, 0.8783247470855713, 0.04738960042595863, -0.0377073809504509, -0.025324523448944092 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
19.799999
99
[ 54.29460144042969, -15.116447448730469, 20.01125717163086, 0, 0, -0.021271901205182076, 0.9997737407684326, 1.159965991973877, 0.8870977759361267, 0.04738960042595863, 0, 0, -0.0377073809504509, -0.6617295145988464, -0.025324523448944092, 1.1666228771209717, 0.8783247470855713, 0.0...
[ 1.16006600856781, 0.8858423233032227, 0.04459940642118454, -0.03841160610318184, -0.025416450574994087 ]
ep_0002ef1c7f9ac096842cb113
Find and track the male adult pedestrian to your front-left, near the building at the initial sighting.
End of preview. Expand in Data Studio

AerialLIFT-10K

AerialLIFT-10K is a language-conditioned UAV Search-to-Track dataset collected in CARLA. This repository currently provides a partial public release containing moving-target episodes only.

The repository is organized into three data directories:

  • train/: a deterministic two-thirds subset of eligible training episodes;
  • val/: the validation split;
  • test/: the unseen-map test split from Town05 and Town07.

Each episode directory contains:

  • rgb.mp4: the 1280x720 RGB observation sequence at 5 Hz;
  • data.parquet: timestamps, frame indices, 21-D UAV observation states, 5-D expert actions, the episode UID, and the English instruction.

For the released episodes, the corresponding full-modal records are stored as filtered Parquet shards under <split>/full_modal/:

  • frames/: camera calibration and pose, target metadata, projected and visible boxes, visibility, occlusion, and frame indices;
  • sensor_arrays/: depth, semantic labels, instance labels, and target masks;
  • state_action/: full UAV states, requested/constrained actions, and observed motion;
  • episode_aux/: episode metadata, events, and difficulty records;
  • background_actor_state/: per-frame state and geometry of background actors.

Every full-modal shard is filtered by canonical episode UID. It therefore contains only episodes present in the corresponding public split.

Episodes whose designated target remains effectively stationary throughout the recording are excluded from this partial release.

The withheld training episodes and the remainder of the complete dataset will be uploaded after the associated paper is accepted.

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