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train
f084c80406c01894cb5e810d842e467edd36482e78999e42ea52e653a4c5c74e
roboflow:smoke-and-fire-detection-22
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true
false
f084c80406c01894cb5e810d842e467edd36482e78999e42ea52e653a4c5c74e
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
67a83102cb324a36f8cd0c0ebeb25148db80376480e2ffea602c1a98216df3ac
roboflow:détection-d'incendie-2
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true
false
67a83102cb324a36f8cd0c0ebeb25148db80376480e2ffea602c1a98216df3ac
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
f1b86afe3c9c089a8895adc957d616c4d2c937a7dd64d17d57f3723cd217feb4
hf-v1:fasdd
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true
false
f1b86afe3c9c089a8895adc957d616c4d2c937a7dd64d17d57f3723cd217feb4
750
750
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
23980fbe67ff5b93381eae93b27db4c9a0982b1d02427a20838aed542b3420c9
local-add:fire.v1i.coco.zip
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true
false
23980fbe67ff5b93381eae93b27db4c9a0982b1d02427a20838aed542b3420c9
640
640
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visible_flame
train
196962b3edb479f288863f5e375250206b1d03e669a5d43ccf1f4460aeac6461
hf-v1:fasdd
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true
false
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visible_flame
train
fd280df9ec9f22f27cca87c1411a04ca6d33cf5d2ac90960f0acc70ca4d76419
hf-v1:fasdd
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true
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750
1,124
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
e9f6acb00c565943ed99d8e05b807ed840617f106bbd5e3254e533cc2c430294
hf-v1:pyro-sdis
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true
false
e9f6acb00c565943ed99d8e05b807ed840617f106bbd5e3254e533cc2c430294
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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hf-v1:fasdd
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true
false
db41b505d636a8ab143f77dc6f72d8910864e5fce317cd3e653a633684cc4392
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
e53e5c08bf8abfd3fe09d199a0caf4ba3c66dc564be8cc3d1239656886ebeedd
roboflow:détection-d'incendie-2
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true
false
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640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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roboflow:détection-d'incendie-2
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true
false
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visible_flame
train
e3c3e2ea09a93fcc8afe2e4736146f4c0fd6f688a0de454598757ca0a97cb9ce
local-add:fire.v1i.coco.zip
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visible_flame
train
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hf-v1:fasdd
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visible_flame
train
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hf-v1:fasdd
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true
false
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visible_flame
train
5e2f366156166f37c395060bec793fe8eee145e485b9378c67c7b1219f446c53
roboflow:détection-d'incendie-2
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true
false
5e2f366156166f37c395060bec793fe8eee145e485b9378c67c7b1219f446c53
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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hf-v1:fasdd
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true
false
a4260cb25664aba829715e5cd7f7d2c42c55ffed80b9259dafb800d9b889c968
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480
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visible_flame
train
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hf-v1:fasdd
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true
false
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1,920
1,080
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
a3a9372fe12f854ebb50fcbd07080b7c288cccce5a6f21abb873cc2129ff6acd
roboflow:détection-d'incendie-2
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true
false
a3a9372fe12f854ebb50fcbd07080b7c288cccce5a6f21abb873cc2129ff6acd
640
640
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visible_flame
train
a6d256045b5c69c5d40b059851afa55ac3c3ba43254ed3727e7608c105d7c4ee
hf-v1:pyro-sdis
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true
false
a6d256045b5c69c5d40b059851afa55ac3c3ba43254ed3727e7608c105d7c4ee
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visible_flame
train
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hf-v1:pyro-sdis
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true
false
1f3d4ac3bbbe6eb11cb412b815b1b3a0c8bdca76fa4db6474533db13dad85bd1
1,280
720
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visible_flame
train
769debfd4faad57b05238e0f41887f6d539b1121fdf6fff7990eff416fa4a0cd
hf-v1:fasdd
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true
false
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visible_flame
train
6e60d07f239b108104c0b2a2328ff2dda71622fcb649c3c7af4bfbe3fad8ab70
hf-v1:fasdd
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true
false
6e60d07f239b108104c0b2a2328ff2dda71622fcb649c3c7af4bfbe3fad8ab70
2,048
1,536
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
b8d482dd612f63cac86e660441260f74cb21e217ef3a413dc190de934e7fb4c5
roboflow:détection-d'incendie-2
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true
false
b8d482dd612f63cac86e660441260f74cb21e217ef3a413dc190de934e7fb4c5
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
4887a757a0280b81b73f1dc63734bdbb6b9074f9fc764e6dc043a9e195ae59e0
roboflow:détection-d'incendie-2
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true
false
4887a757a0280b81b73f1dc63734bdbb6b9074f9fc764e6dc043a9e195ae59e0
640
640
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visible_flame
train
cf2bb5a87d2ce60f176dc017396d1f955a636755abad17afab9ab7d5d44ec49b
hf-v1:fasdd
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true
false
cf2bb5a87d2ce60f176dc017396d1f955a636755abad17afab9ab7d5d44ec49b
719
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visible_flame
train
f801816a1485bd6e96be50ba2f1328f1b86bdeac1e1890c2d0cddae928eae45e
hf-v1:pyro-sdis
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f801816a1485bd6e96be50ba2f1328f1b86bdeac1e1890c2d0cddae928eae45e
1,280
720
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
126d7ab7f2f4053fb01ea17c6d976226a7b7ece95b0afddc40dbea5474ea61c4
local-add:fire.v1i.coco.zip
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true
false
126d7ab7f2f4053fb01ea17c6d976226a7b7ece95b0afddc40dbea5474ea61c4
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
ecbf238e42ad98852757e0c7707f63c34e54286117e26d610c9cc7a42079eaf4
hf-v1:pyro-sdis
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false
ecbf238e42ad98852757e0c7707f63c34e54286117e26d610c9cc7a42079eaf4
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visible_flame
train
54a52def3f73f7416ea9e7ecca96e08e643a493254365797ccafabfecfce82a0
hf-v1:fasdd
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true
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54a52def3f73f7416ea9e7ecca96e08e643a493254365797ccafabfecfce82a0
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visible_flame
train
44c9927912416c0588e0807db3fc21cced25a729eab315cc756f1dda15728646
roboflow:détection-d'incendie-2
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true
false
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visible_flame
train
80296bf3cb939fb3028540131ca0954bd4ee37c3cae76dc85170c778bafe0089
roboflow:smoke-and-fire-detection-22
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80296bf3cb939fb3028540131ca0954bd4ee37c3cae76dc85170c778bafe0089
640
640
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visible_flame
train
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roboflow:détection-d'incendie-2
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true
false
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640
640
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visible_flame
train
e614b96b6ae65e42700e9bf55817aa2d6fd8ab2b64fa7ce189ad526ddfcd4627
hf-v1:fasdd
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true
false
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
3e7125aa0f0bc2f61c9840725f43a08e8f0c34b48fdc667343c51d105cb43bfe
roboflow:smoke-and-fire-detection-22
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true
false
3e7125aa0f0bc2f61c9840725f43a08e8f0c34b48fdc667343c51d105cb43bfe
640
640
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visible_flame
train
12eef82a1498c15f9885ab273fb79765bd70bda82ebecc63f8032d3e02f3b93b
roboflow:détection-d'incendie-2
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true
false
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640
640
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visible_flame
train
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local-add:fire.v1i.coco.zip
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false
f11261f3274d979bca18e53f7d0c7d18fd3fce6adcc7c56f3008790a8c52ae29
640
640
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visible_flame
train
c197b49fc3af9bcfd5bbfcb0d3a1301b760753abd2c012aecfbd49b931b1d0d2
roboflow:smoke-and-fire-detection-22
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false
c197b49fc3af9bcfd5bbfcb0d3a1301b760753abd2c012aecfbd49b931b1d0d2
640
640
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visible_flame
train
c1c5f95a9bd3a413fd51b6650261598809745126cd1fed9bf7d51374e9020b5c
hf-v1:fasdd
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true
false
c1c5f95a9bd3a413fd51b6650261598809745126cd1fed9bf7d51374e9020b5c
704
704
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
38a33bf323beb9f06dc499a427b4debf65ae5267d454bd9dd4b5079f62cd6687
roboflow:détection-d'incendie-2
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true
false
38a33bf323beb9f06dc499a427b4debf65ae5267d454bd9dd4b5079f62cd6687
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
30b0fbb230769504b8237e71ff5711b4474d2fd47738c728f11b9e3fa9f68d91
hf-v1:fasdd
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true
false
30b0fbb230769504b8237e71ff5711b4474d2fd47738c728f11b9e3fa9f68d91
363
225
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
138e9d149dffc0b90d6a85c99d9472dd7f192a6a10ba2775ebb443ba128be13d
local-add:fire.v1i.coco.zip
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true
false
138e9d149dffc0b90d6a85c99d9472dd7f192a6a10ba2775ebb443ba128be13d
640
640
{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
39a99b0bb7d7cb374f3dfd8b8b1b43f5672dc7b89b429e9d0b803a1a8a94562d
hf-v1:fasdd
"CC-BY-SA-4.0"
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hf-v1:fasdd
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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roboflow:détection-d'incendie-2
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visible_flame
train
cf7477c3fcb0daea0a1dc17dd04b56a5e0ad7dca0fe9f80ccd218bc7bddc2629
roboflow:détection-d'incendie-2
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{ "bbox_xyxy": [ [ 374.5, 117, 474.5, 482 ], [ 485.5, 257, 524.5, 327 ] ], "point_xy": [ [ 413.5, 406.5 ], [ 508.5, 309.5 ] ], "point_valid": [ true, true ], "source_box_index": [ 0, 2 ...
visible_flame
train
40510c457f9392396303cc0dea0bc1d3aaa5efbd796fe8ad0c4ba84517ee2cfc
roboflow:détection-d'incendie-2
"[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]"
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{ "bbox_xyxy": [ [ 196, 65.5, 317, 341.5 ], [ 232.75, 346.5, 291.25, 415.5 ] ], "point_xy": [ [ 292.5, 296.5 ], [ 271.5, 401.5 ] ], "point_valid": [ true, true ], "source_box_index": [ 0, ...
visible_flame
train
b41d2352420b2b3e68e33e58b860bc662214ee09ca06895ea0d6e03d5ea53f4e
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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visible_flame
train
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false
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visible_flame
train
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hf-v1:fasdd
"CC-BY-SA-4.0"
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visible_flame
train
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roboflow:smoke-and-fire-detection-22
"[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]"
true
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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hf-v1:fasdd
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false
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visible_flame
train
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true
false
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
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roboflow:détection-d'incendie-2
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false
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visible_flame
train
c2f887186e20644ad913c93b4714ac19db2c8fc61833dafdaa515b2ea2ebcafe
hf-v1:pyro-sdis
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true
false
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
e9aaccc1b4d0785e349f2c852c291275786ae4340292eb97df32678e797da626
hf-v1:pyro-sdis
"Apache-2.0"
true
false
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
65dd48452cf4cfe59ddd1d79b2d18483bff7baa50eff16b56872f88005436924
roboflow:smoke-and-fire-detection-22
"[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]"
true
false
65dd48452cf4cfe59ddd1d79b2d18483bff7baa50eff16b56872f88005436924
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
57d75a5b26b0cd92acaabeb5fe79c5dc8892bb37652e4ad64334616f30972cab
local-add:fire.v1i.coco.zip
"[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]"
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false
57d75a5b26b0cd92acaabeb5fe79c5dc8892bb37652e4ad64334616f30972cab
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
train
92c7d63c24489c1eb58337e73f014bd68eb66e58d70a4a186aebfcbee4391862
roboflow:détection-d'incendie-2
"[{\"id\": 1, \"url\": \"https://creativecommons.org/licenses/by/4.0/\", \"name\": \"CC BY 4.0\"}]"
true
false
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{ "bbox_xyxy": [], "point_xy": [], "point_valid": [], "source_box_index": [], "point_sample_id": [] }
visible_flame
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v2.5-visible-flame-full-image-multipoint

English — full images with multiple flame points

46,576 train / 7,647 validation images, original archive bytes and dimensions. Flame boxes: 31,908 / 1,950. Valid points: 30,460 / 1,812. Missing point targets: 1,448 / 138. Positive images: 13,199 / 578; remaining 33,377 / 7,069 images are negative for annotated visible flame and may contain smoke. Maximum annotated flame boxes per image: 34 train / 22 validation. These are original-image counts, not ROI counts.

All original flame boxes are retained even when pseudo-point generation abstains. Such objects carry point_valid=False and point_xy=None; ignore their point loss, retain their detection target. Never substitute (0,0), bbox centre or background. This dataset is an image-level reconstruction of v2.5-visible-flame-crop-monopoint. It supports future multipoint detection research; no satisfactory D-FINE multipoint checkpoint is published. The usable baseline is rfdetr-medium-visible-flame-v2.5 plus dinov2-small-visible-flame-monopoint-v2.5 applied per detection.

Français — images entières multipoints

46 576 images train et 7 647 validation, avec 31 908 / 1 950 boîtes flamme et 30 460 / 1 812 points valides. Les 1 448 / 138 cibles de point manquantes restent nulles : ignorer seulement leur loss de point et conserver la boîte comme cible de détection. Les images sans flamme annotée restent des négatifs utiles, même si elles contiennent de la fumée. Le corpus sert au multipoint futur ; aucun D-FINE multipoint satisfaisant n'est annoncé.

Row schema and independent annotations / Schéma et annotations séparées

image, original-image SHA ID, source and rights metadata, width/height, pseudo-label flags; objects is a dictionary of aligned lists, not a list of dictionaries: bbox_xyxy, point_xy, point_valid, source_box_index, point_sample_id. Each valid point has two floats; each unavailable point is null. Empty objects lists mean annotated-negative images. Boxes and points use original-image pixels. COCO detection annotations live in annotations/<split>.boxes.coco.json with category ID 1=visible_flame and xywh boxes. Point targets are a separate annotations/<split>.points.json, joined by annotation/image ID; they are not disguised as COCO boxes.

objects contient des listes alignées de boîtes xyxy, points et validité. Les cibles nulles sont explicites. Les fichiers COCO de détection utilisent xywh et catégorie 1 ; les points sont dans un fichier distinct, joint par identifiants. Cette séparation empêche de traiter un point ignoré comme un négatif de détection.

Loading and structural QA / Chargement et QA structurelle

from datasets import load_dataset
ds = load_dataset('fireviewer/v2.5-visible-flame-full-image-multipoint', split='train', streaming=True)
row = next(iter(ds))

Some clients expose an embedded image as {'bytes': ..., 'path': ...}; cast to datasets.Image() or decode the bytes with PIL explicitly. No custom loading script or automatic remote code is required. DATA_FILES_MANIFEST.json records payload SHA-256 and size; release.json records parent revision, split counts and generator identity. Every original image hash/dimension, crop bounds, valid point range and reprojection was checked. Parquet shards were reread after writing, and Drive copies were hash-verified. These are structural checks, not a semantic human audit.

Selon le client, l'image embarquée est un objet Image ou un dictionnaire d'octets : décodez-le explicitement. Les manifestes conservent tailles et hashes. Les contrôles de coordonnées, d'octets et de copie Drive ne remplacent pas une revue humaine des points.

Annotation method / Méthode d'annotation

EN. Points are deterministic pseudo-labels called flame_base_anchor. SAM 2.1 Hiera Large is prompted inside each tight original flame-box crop, never on the complete image. Integer crops use floor for the top-left and ceil for the bottom-right, clamped to image dimensions, without context. The highest SAM predicted-IoU candidate mask is used; that score is uncalibrated. The initial target is the mask-bounding-box horizontal centre and y = mask centre + 0.35 × mask height, i.e. 85% from its top. The point is moved to an allowed flame-colour region near that target: HSV red/orange/yellow (hue 0–65 or 350–360, saturation ≥0.35, value ≥0.35), or luminous white (saturation ≤0.22, value ≥0.82). Local golden-yellow pixels (35–65°, saturation ≥0.35, value ≥0.65) are preferred. Intensity combines 0.7 HSV value and 0.3 linear-RGB luminance; the upper local quartile is retained. An eight-connected component is chosen by weighted intensity mass; its weighted centroid is projected inside a robust component core using the distance transform. Pixel-centre coordinates use +0.5. Empty masks or colour support cause abstention, not fabricated coordinates.

FR. Les points sont des pseudo-annotations déterministes flame_base_anchor. SAM 2.1 fonctionne uniquement dans le crop serré de chaque boîte flamme : aucun contexte ajouté, coordonnées arrondies vers l'extérieur et limitées à l'image. Le masque au meilleur IoU prédit est retenu, sans interpréter ce score comme une confiance calibrée. La cible initiale est au centre horizontal du masque et à 85% de sa hauteur depuis le sommet. Elle est rapprochée des pixels rouge/orange/jaune/blanc lumineux admissibles, avec préférence pour le jaune doré local et les pixels intenses. La composante connexe ayant la masse d'intensité dominante fournit un centroïde, ensuite projeté dans son cœur robuste. Sans masque ou couleur admissible, la génération s'abstient.

This is an appearance-based anchor convention, not an ignition point, geographic fire origin, physical temperature measurement, or one point per incident. The accepted pilot contained 50 boxes from 28 images, with 48 resolved points; the user accepted the green crosses. That acceptance does not validate every corpus annotation. Every public row remains human_reviewed=False and point_labels_are_pseudo=True.

Cette convention fournit une ancre visuelle, pas une origine physique du feu ni un point par foyer. Le pilote accepté comportait 50 boîtes sur 28 images, dont 48 points résolus. Cette acceptation ne vaut pas revue de l'ensemble : chaque ligne publique conserve le statut de pseudo-annotation non revue individuellement.

SAM source: facebook/sam2.1-hiera-large, revision 665f8e2ad61cf5f53d65644ff27c8ee525124610; weights SHA-256 dc407dce21301fd94abb395c5099b4f2c455fdc8a8f261ac3d0ea6d4cd197230. Corpus key: 06001121391d953d12379a97315089bf273f1ac5e9d21067b061638010d17abd. Point dataset key: 4c1b4ad38ca3c6b8b8120094c6714a81383c57ad8f57690adaff1d38644c2aa7.

Provenance, splits and rights / Provenance, partitions et droits

EN. Derived from v2.5-box-precise-and-multi-source-suplement, original payload revision 5e268f93fb6fad11262123a76bd3579addcf8ea4. Image membership follows the parent's split and original-image SHA-256; every crop of one image stays in its split. Exact-image and decoded-image leakage checks passed upstream. Related frames/events may still occur across splits because complete incident metadata are unavailable. Do not claim event-independent evaluation. The archive fingerprint is 7f0a7d63b9c2b308f786f2b564ef3f1f1c9fc07926d3277d7579c6599a2f3d65.

FR. Le corpus dérive du dataset principal, révision des données indiquée ci-dessus. Les crops suivent la partition et l'empreinte de leur image d'origine. Les contrôles de doublons ne suffisent pas à garantir l'indépendance des événements ou des séquences ; les métadonnées d'incidents sont incomplètes.

Only source rows with recorded public redistribution permission are exported. MyData_Fire (Private) and With-Augmentation-Big-1 (undocumented redistribution permission) are excluded. Images retain source-specific licenses: FASDD CC-BY-SA-4.0, Pyro-SDIS Apache-2.0 and recorded licenses for the local/Roboflow additions. license: other is intentional; derivative annotations and packaging do not grant new image rights. Retain source_license, LICENSE, source notices and HF source rights. The notices include source URLs and attribution; they are the authority for reuse, not this summary.

Seules les lignes dont les droits de redistribution publique sont documentés sont exportées. Les images conservent leurs licences propres et leurs attributions ; les annotations dérivées ne les remplacent pas. Conservez les champs par ligne et les notices. Les sources privées ou sans autorisation documentée sont exclues.

Appropriate use and limitations / Usage et limites

Research on visible fire perception, domain-specific detection and localization. No exhaustive human QA, complete incident coverage, demographic/geographic balance or scientific claim about physical fire origin is established. Source boxes can be incomplete or noisy; chromatic heuristics can select luminous non-flame texture. Reevaluate on independently labeled scenes before deployment. TEST was not consulted for point generation, selection or this release.

Recherche en perception et localisation visuelle du feu. Aucune revue humaine exhaustive, représentativité géographique complète ou localisation physique de l'origine n'est établie. Les boîtes sources peuvent être incomplètes et les heuristiques de couleur peuvent sélectionner une texture lumineuse incorrecte. Une validation humaine indépendante reste nécessaire. Le TEST n'est pas utilisé pour les points ou leur sélection.

References / Références

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