Datasets:
recording string | frame int64 | time_s float64 | integrity_ok int64 | flags_ok float64 | interval_ok int64 | imu_ok int64 | sync_ok float64 | non_task float64 | rel_sharpness float64 | gyro_ok int64 | blur_px_pred float64 | rotation_dps float64 | exposure_ms float64 | single_both int64 | consensus_both int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
stereo_rig_full_session | 0 | 0 | 1 | 1 | 1 | 1 | 1 | null | 0.099015 | 1 | 0.031404 | 0.410926 | 9.44 | 0 | 0 |
stereo_rig_full_session | 1 | 0.034731 | 1 | 1 | 1 | 1 | 1 | null | 0.201429 | 1 | 0.054872 | 0.667101 | 9.363 | 0 | 0 |
stereo_rig_full_session | 2 | 0.066669 | 1 | 1 | 1 | 1 | 1 | null | 0.399098 | 1 | 0.052232 | 0.700618 | 9.443 | 0 | 0 |
stereo_rig_full_session | 3 | 0.099999 | 1 | 1 | 1 | 1 | 1 | null | 0.573586 | 1 | 0.027242 | 0.640549 | 9.438 | 0 | 0 |
stereo_rig_full_session | 4 | 0.133387 | 1 | 1 | 1 | 1 | 1 | null | 0.702715 | 1 | 0.177553 | 2.276472 | 9.375 | 0 | 0 |
stereo_rig_full_session | 5 | 0.166668 | 1 | 1 | 1 | 1 | 1 | null | 0.708512 | 1 | 0.210645 | 2.701466 | 9.443 | 0 | 0 |
stereo_rig_full_session | 6 | 0.2003 | 1 | 1 | 1 | 1 | 1 | null | 0.832438 | 1 | 0.01226 | 1.310566 | 10.041 | 0 | 0 |
stereo_rig_full_session | 7 | 0.233633 | 1 | 1 | 1 | 1 | 1 | null | 0.900213 | 1 | 0.170155 | 2.386108 | 10.039 | 0 | 0 |
stereo_rig_full_session | 8 | 0.266964 | 1 | 1 | 1 | 1 | 1 | null | 0.707312 | 1 | 0.365263 | 4.666365 | 10.04 | 0 | 0 |
stereo_rig_full_session | 9 | 0.300299 | 1 | 1 | 1 | 1 | 1 | null | 0.63693 | 1 | 0.324695 | 4.201676 | 10.038 | 0 | 0 |
stereo_rig_full_session | 10 | 0.333633 | 1 | 1 | 1 | 1 | 1 | null | 0.666285 | 1 | 0.442466 | 5.744329 | 10.039 | 0 | 0 |
stereo_rig_full_session | 11 | 0.367665 | 1 | 1 | 1 | 1 | 1 | null | 0.712345 | 1 | 0.35141 | 5.078354 | 9.232 | 0 | 0 |
stereo_rig_full_session | 12 | 0.400531 | 1 | 1 | 1 | 1 | 1 | null | 0.784463 | 1 | 0.278995 | 3.979553 | 10.508 | 0 | 0 |
stereo_rig_full_session | 13 | 0.434139 | 1 | 1 | 1 | 1 | 1 | null | 0.837801 | 1 | 0.628646 | 6.822413 | 11.054 | 0 | 0 |
stereo_rig_full_session | 14 | 0.466963 | 1 | 1 | 1 | 1 | 1 | null | 0.771763 | 1 | 0.812757 | 10.041231 | 10.042 | 0 | 0 |
stereo_rig_full_session | 15 | 0.500348 | 1 | 1 | 1 | 1 | 1 | null | 0.705737 | 1 | 1.24165 | 14.953928 | 10.142 | 0 | 0 |
stereo_rig_full_session | 16 | 0.533631 | 1 | 1 | 1 | 1 | 1 | null | 0.637999 | 0 | 1.732629 | 21.244928 | 10.039 | 0 | 0 |
stereo_rig_full_session | 17 | 0.567194 | 1 | 1 | 1 | 1 | 1 | null | 0.614684 | 1 | 1.462407 | 17.371308 | 10.505 | 0 | 0 |
stereo_rig_full_session | 18 | 0.600295 | 1 | 1 | 1 | 1 | 1 | null | 0.613084 | 1 | 1.415665 | 17.304616 | 10.043 | 0 | 0 |
stereo_rig_full_session | 19 | 0.63363 | 1 | 1 | 1 | 1 | 1 | null | 0.592198 | 0 | 1.57182 | 19.20467 | 10.04 | 0 | 0 |
stereo_rig_full_session | 20 | 0.666962 | 1 | 1 | 1 | 1 | 1 | null | 0.591847 | 1 | 1.496077 | 18.360915 | 10.039 | 0 | 0 |
stereo_rig_full_session | 21 | 0.700296 | 1 | 1 | 1 | 1 | 1 | null | 0.603836 | 0 | 1.504861 | 17.847812 | 10.041 | 0 | 0 |
stereo_rig_full_session | 22 | 0.733628 | 1 | 1 | 1 | 1 | 1 | null | 0.610828 | 0 | 1.536885 | 18.769934 | 10.039 | 0 | 1 |
stereo_rig_full_session | 23 | 0.76696 | 1 | 1 | 1 | 1 | 1 | null | 0.631654 | 1 | 1.419198 | 17.741767 | 10.042 | 0 | 1 |
stereo_rig_full_session | 24 | 0.800296 | 1 | 1 | 1 | 1 | 1 | null | 0.672532 | 1 | 1.042254 | 13.174885 | 10.041 | 1 | 1 |
stereo_rig_full_session | 25 | 0.83363 | 1 | 1 | 1 | 1 | 1 | null | 0.666145 | 1 | 0.907774 | 11.614483 | 10.041 | 0 | 1 |
stereo_rig_full_session | 26 | 0.866959 | 1 | 1 | 1 | 1 | 1 | null | 0.687119 | 1 | 0.828724 | 9.964599 | 10.039 | 1 | 1 |
stereo_rig_full_session | 27 | 0.900297 | 1 | 1 | 1 | 1 | 1 | null | 0.718061 | 1 | 0.596925 | 6.632458 | 10.044 | 1 | 1 |
stereo_rig_full_session | 28 | 0.934458 | 1 | 1 | 1 | 1 | 1 | null | 0.862014 | 1 | 0.606365 | 7.873601 | 8.376 | 1 | 1 |
stereo_rig_full_session | 29 | 0.966959 | 1 | 1 | 1 | 1 | 1 | null | 0.923093 | 1 | 1.047085 | 11.354268 | 10.04 | 1 | 1 |
stereo_rig_full_session | 30 | 1.000292 | 1 | 1 | 1 | 1 | 1 | null | 1.335603 | 1 | 1.001402 | 10.900055 | 10.04 | 1 | 1 |
stereo_rig_full_session | 31 | 1.033624 | 1 | 1 | 1 | 1 | 1 | null | 1.067179 | 1 | 1.083755 | 12.272327 | 10.044 | 1 | 1 |
stereo_rig_full_session | 32 | 1.066956 | 1 | 1 | 1 | 1 | 1 | null | 0.897072 | 1 | 1.275379 | 14.344677 | 10.036 | 0 | 1 |
stereo_rig_full_session | 33 | 1.100291 | 1 | 1 | 1 | 1 | 1 | null | 0.818075 | 1 | 1.135394 | 13.005953 | 10.041 | 0 | 1 |
stereo_rig_full_session | 34 | 1.133624 | 1 | 1 | 1 | 1 | 1 | null | 0.790961 | 1 | 0.692727 | 8.134518 | 10.039 | 0 | 1 |
stereo_rig_full_session | 35 | 1.166956 | 1 | 1 | 1 | 1 | 1 | null | 0.79763 | 1 | 0.255372 | 3.408899 | 10.04 | 0 | 1 |
stereo_rig_full_session | 36 | 1.200291 | 1 | 1 | 1 | 1 | 1 | null | 0.917154 | 1 | 0.118322 | 2.363015 | 10.04 | 0 | 1 |
stereo_rig_full_session | 37 | 1.233625 | 1 | 1 | 1 | 1 | 1 | null | 1.032119 | 1 | 0.200943 | 2.432218 | 10.042 | 0 | 1 |
stereo_rig_full_session | 38 | 1.26755 | 1 | 1 | 1 | 1 | 1 | null | 0.999572 | 1 | 0.168193 | 2.240653 | 8.856 | 0 | 1 |
stereo_rig_full_session | 39 | 1.300292 | 1 | 1 | 1 | 1 | 1 | null | 1.174722 | 1 | 0.111921 | 1.597613 | 10.035 | 0 | 1 |
stereo_rig_full_session | 40 | 1.333622 | 1 | 1 | 1 | 1 | 1 | null | 1.258036 | 1 | 0.143476 | 2.139428 | 10.04 | 0 | 1 |
stereo_rig_full_session | 41 | 1.367017 | 1 | 1 | 1 | 1 | 1 | null | 1.046166 | 1 | 0.681991 | 8.13695 | 9.912 | 1 | 1 |
stereo_rig_full_session | 42 | 1.400287 | 1 | 1 | 1 | 1 | 1 | null | 0.868726 | 1 | 1.373556 | 16.163615 | 10.041 | 1 | 1 |
stereo_rig_full_session | 43 | 1.433622 | 1 | 1 | 1 | 1 | 1 | null | 0.693491 | 0 | 2.302174 | 28.092982 | 10.039 | 1 | 1 |
stereo_rig_full_session | 44 | 1.466954 | 1 | 1 | 1 | 1 | 1 | null | 0.659432 | 0 | 2.279912 | 28.93271 | 10.039 | 1 | 1 |
stereo_rig_full_session | 45 | 1.500287 | 1 | 1 | 1 | 1 | 1 | null | 0.652757 | 0 | 1.994439 | 24.977129 | 10.039 | 1 | 1 |
stereo_rig_full_session | 46 | 1.533621 | 1 | 1 | 1 | 1 | 1 | null | 0.622266 | 0 | 2.144612 | 26.54438 | 10.041 | 1 | 1 |
stereo_rig_full_session | 47 | 1.566953 | 1 | 1 | 1 | 1 | 1 | null | 0.640524 | 0 | 2.206953 | 27.383683 | 10.039 | 1 | 1 |
stereo_rig_full_session | 48 | 1.600608 | 1 | 1 | 1 | 1 | 1 | null | 0.664233 | 0 | 1.808261 | 23.887327 | 9.398 | 1 | 1 |
stereo_rig_full_session | 49 | 1.633619 | 1 | 1 | 1 | 1 | 1 | null | 0.684721 | 0 | 1.852864 | 22.771487 | 10.039 | 0 | 1 |
stereo_rig_full_session | 50 | 1.666953 | 1 | 1 | 1 | 1 | 1 | null | 0.667651 | 0 | 1.836977 | 22.880048 | 10.041 | 1 | 1 |
stereo_rig_full_session | 51 | 1.700412 | 1 | 1 | 1 | 1 | 1 | null | 0.659179 | 0 | 1.67472 | 20.136431 | 10.297 | 1 | 1 |
stereo_rig_full_session | 52 | 1.733964 | 1 | 1 | 1 | 1 | 1 | null | 0.686595 | 1 | 1.165004 | 13.806499 | 10.728 | 1 | 1 |
stereo_rig_full_session | 53 | 1.766953 | 1 | 1 | 1 | 1 | 1 | null | 0.704485 | 1 | 0.865041 | 13.651094 | 10.044 | 1 | 1 |
stereo_rig_full_session | 54 | 1.800284 | 1 | 1 | 1 | 1 | 1 | null | 0.749639 | 1 | 0.656988 | 11.685135 | 10.04 | 1 | 1 |
stereo_rig_full_session | 55 | 1.833619 | 1 | 1 | 1 | 1 | 1 | null | 0.782434 | 1 | 0.516474 | 6.218099 | 10.041 | 1 | 1 |
stereo_rig_full_session | 56 | 1.866949 | 1 | 1 | 1 | 1 | 1 | null | 0.884313 | 1 | 0.845477 | 9.504477 | 10.039 | 1 | 1 |
stereo_rig_full_session | 57 | 1.900284 | 1 | 1 | 1 | 1 | 1 | null | 0.873755 | 1 | 1.301636 | 14.946617 | 10.041 | 1 | 1 |
stereo_rig_full_session | 58 | 1.933691 | 1 | 1 | 1 | 1 | 1 | null | 0.907892 | 1 | 1.203855 | 13.332285 | 9.894 | 1 | 1 |
stereo_rig_full_session | 59 | 1.96695 | 1 | 1 | 1 | 1 | 1 | null | 0.936778 | 1 | 0.995434 | 10.88174 | 10.042 | 0 | 1 |
stereo_rig_full_session | 60 | 2.000282 | 1 | 1 | 1 | 1 | 1 | null | 1.167163 | 1 | 0.828282 | 9.651033 | 10.04 | 1 | 1 |
stereo_rig_full_session | 61 | 2.033617 | 1 | 1 | 1 | 1 | 1 | null | 1.043054 | 1 | 0.665888 | 9.196187 | 10.045 | 1 | 1 |
stereo_rig_full_session | 62 | 2.067034 | 1 | 1 | 1 | 1 | 1 | null | 1.083161 | 1 | 0.349545 | 5.158283 | 9.869 | 1 | 1 |
stereo_rig_full_session | 63 | 2.100282 | 1 | 1 | 1 | 1 | 1 | null | 1.117606 | 1 | 0.283454 | 3.626151 | 10.041 | 1 | 1 |
stereo_rig_full_session | 64 | 2.133718 | 1 | 1 | 1 | 1 | 1 | null | 1.142482 | 1 | 0.308023 | 3.556902 | 9.832 | 1 | 1 |
stereo_rig_full_session | 65 | 2.16751 | 1 | 1 | 1 | 1 | 1 | null | 1.070226 | 1 | 0.327866 | 4.22122 | 8.914 | 1 | 1 |
stereo_rig_full_session | 66 | 2.200279 | 1 | 1 | 1 | 1 | 1 | null | 0.979479 | 1 | 0.190136 | 3.208557 | 10.04 | 1 | 1 |
stereo_rig_full_session | 67 | 2.233616 | 1 | 1 | 1 | 1 | 1 | null | 0.896194 | 1 | 0.14275 | 4.000416 | 10.042 | 1 | 1 |
stereo_rig_full_session | 68 | 2.267075 | 1 | 1 | 1 | 1 | 1 | null | 0.887861 | 1 | 0.342207 | 4.898511 | 10.072 | 1 | 1 |
stereo_rig_full_session | 69 | 2.30028 | 1 | 1 | 1 | 1 | 1 | null | 0.838948 | 1 | 0.543894 | 7.216963 | 10.041 | 1 | 1 |
stereo_rig_full_session | 70 | 2.333613 | 1 | 1 | 1 | 1 | 1 | null | 0.813761 | 1 | 0.16688 | 2.303639 | 10.039 | 1 | 1 |
stereo_rig_full_session | 71 | 2.367036 | 1 | 1 | 1 | 1 | 1 | null | 0.947775 | 1 | 0.141607 | 1.945145 | 10.213 | 1 | 1 |
stereo_rig_full_session | 72 | 2.401201 | 1 | 1 | 1 | 1 | 1 | null | 0.846769 | 1 | 0.205382 | 3.109392 | 8.188 | 1 | 1 |
stereo_rig_full_session | 73 | 2.433612 | 1 | 1 | 1 | 1 | 1 | null | 0.842139 | 1 | 0.129415 | 1.440339 | 10.038 | 1 | 1 |
stereo_rig_full_session | 74 | 2.466945 | 1 | 1 | 1 | 1 | 1 | null | 0.945342 | 1 | 0.11414 | 2.002102 | 10.042 | 0 | 1 |
stereo_rig_full_session | 75 | 2.50068 | 1 | 1 | 1 | 1 | 1 | null | 1.000428 | 1 | 0.090056 | 2.3975 | 9.237 | 1 | 1 |
stereo_rig_full_session | 76 | 2.533611 | 1 | 1 | 1 | 1 | 1 | null | 0.952558 | 1 | 0.130766 | 2.059527 | 10.041 | 1 | 1 |
stereo_rig_full_session | 77 | 2.566943 | 1 | 1 | 1 | 1 | 1 | null | 0.999728 | 1 | 0.104614 | 2.303493 | 10.04 | 1 | 1 |
stereo_rig_full_session | 78 | 2.600362 | 1 | 1 | 1 | 1 | 1 | null | 1.019119 | 1 | 0.213527 | 4.784027 | 9.874 | 1 | 1 |
stereo_rig_full_session | 79 | 2.634143 | 1 | 1 | 1 | 1 | 1 | null | 0.99384 | 1 | 0.368066 | 5.316984 | 11.103 | 1 | 1 |
stereo_rig_full_session | 80 | 2.666944 | 1 | 1 | 1 | 1 | 1 | null | 0.963908 | 1 | 0.391809 | 4.629556 | 10.042 | 1 | 1 |
stereo_rig_full_session | 81 | 2.700403 | 1 | 1 | 1 | 1 | 1 | null | 1.019252 | 1 | 0.321604 | 3.544593 | 9.78 | 0 | 1 |
stereo_rig_full_session | 82 | 2.734286 | 1 | 1 | 1 | 1 | 1 | null | 0.996527 | 1 | 0.16572 | 2.300917 | 8.688 | 0 | 1 |
stereo_rig_full_session | 83 | 2.76694 | 1 | 1 | 1 | 1 | 1 | null | 1.099894 | 1 | 0.141366 | 2.358415 | 10.04 | 0 | 1 |
stereo_rig_full_session | 84 | 2.800286 | 1 | 1 | 1 | 1 | 1 | null | 1.203454 | 1 | 0.032202 | 1.798798 | 10.022 | 0 | 1 |
stereo_rig_full_session | 85 | 2.834106 | 1 | 1 | 1 | 1 | 1 | null | 1.121255 | 1 | 0.124414 | 2.141959 | 9.045 | 0 | 1 |
stereo_rig_full_session | 86 | 2.866941 | 1 | 1 | 1 | 1 | 1 | null | 1.071367 | 1 | 0.296303 | 4.091477 | 10.041 | 0 | 1 |
stereo_rig_full_session | 87 | 2.900275 | 1 | 1 | 1 | 1 | 1 | null | 0.999969 | 1 | 0.342621 | 4.684706 | 10.041 | 0 | 1 |
stereo_rig_full_session | 88 | 2.933944 | 1 | 1 | 1 | 1 | 1 | null | 0.986083 | 1 | 0.199451 | 3.254777 | 9.368 | 0 | 1 |
stereo_rig_full_session | 89 | 2.96694 | 1 | 1 | 1 | 1 | 1 | null | 1.029163 | 1 | 0.18541 | 2.553182 | 10.041 | 0 | 1 |
stereo_rig_full_session | 90 | 3.000272 | 1 | 1 | 1 | 1 | 1 | null | 1.517757 | 1 | 0.273019 | 3.565712 | 10.038 | 0 | 1 |
stereo_rig_full_session | 91 | 3.033675 | 1 | 1 | 1 | 1 | 1 | null | 1.358516 | 1 | 0.106858 | 1.978339 | 9.901 | 0 | 1 |
stereo_rig_full_session | 92 | 3.067446 | 1 | 1 | 1 | 1 | 1 | null | 1.248532 | 1 | 0.186045 | 2.239208 | 9.041 | 0 | 1 |
stereo_rig_full_session | 93 | 3.100272 | 1 | 1 | 1 | 1 | 1 | null | 1.076423 | 1 | 0.49038 | 5.523597 | 10.04 | 0 | 1 |
stereo_rig_full_session | 94 | 3.133604 | 1 | 1 | 1 | 1 | 1 | null | 1.091265 | 1 | 0.741545 | 8.739456 | 10.038 | 0 | 1 |
stereo_rig_full_session | 95 | 3.167189 | 1 | 1 | 1 | 1 | 1 | null | 1.081174 | 1 | 0.531263 | 6.515414 | 9.533 | 0 | 1 |
stereo_rig_full_session | 96 | 3.200272 | 1 | 1 | 1 | 1 | 1 | null | 1.001076 | 1 | 0.265957 | 3.414916 | 10.039 | 0 | 1 |
stereo_rig_full_session | 97 | 3.233608 | 1 | 1 | 1 | 1 | 1 | null | 0.966985 | 1 | 0.388827 | 5.780261 | 10.045 | 0 | 1 |
stereo_rig_full_session | 98 | 3.266936 | 1 | 1 | 1 | 1 | 1 | null | 0.98342 | 1 | 0.4203 | 4.913061 | 10.04 | 1 | 1 |
stereo_rig_full_session | 99 | 3.300269 | 1 | 1 | 1 | 1 | 1 | null | 1.020174 | 1 | 0.286183 | 3.244947 | 10.044 | 1 | 1 |
End of preview. Expand in Data Studio
Origin Data Lab · Technical Field Note #08
Egocentric Footage Yield: Acceptance Layers
English technical note | Korean technical note
Egocentric Footage Yield — Per-Frame Acceptance Layers
Dataset Summary
One row per frame for 12,651 egocentric frames (a 290-second head-mounted stereo session and two 66-second phone recordings) with four acceptance layers: integrity, task, sharpness and both-hands visibility. It accompanies Origin Data Lab Technical Field Note #08 and lets anyone recompute frame yield, clip yield and capture hours per accepted hour under their own acceptance rules.
Status: AI-only preliminary for the both-hands layer. Integrity, sharpness and yield arithmetic are measured; hand checks come from MediaPipe without human verification.
Intended Uses
- Designing and testing acceptance rules for egocentric robot-learning data.
- Estimating capture cost per accepted hour under different thresholds.
- Reproducing Field Note #08. Not a benchmark; yields are specific to these recordings.
Data Structure
Single file data/yield_frames.csv, recordings distinguished by recording.
| Column | Description |
|---|---|
recording |
stereo_rig_full_session, phone_knife_prep or phone_seasoning |
frame |
0-based frame index |
time_s |
Frame time, s (stereo: from first exposure centre; phone: container PTS) |
integrity_ok |
1 if all integrity checks pass |
flags_ok |
Stereo: left and right device valid flags = 0x07 (empty for phone) |
interval_ok |
Frame interval within 16.7–50 ms (stereo) / below 50 ms (phone) |
imu_ok |
Stereo: ≥3 IMU samples inside the exposure; phone: ≥4 gyro samples within ±16.7 ms |
sync_ok |
Stereo: |
non_task |
Phone: 1 inside a human-annotated non-task keystep (empty for stereo, no annotation) |
rel_sharpness |
Laplacian sharpness relative to low-motion frames within ±3 s (empty if no reference) |
gyro_ok |
Fallback sharpness rule: stereo predicted blur ≤ 1.5 px; phone rotation ≤ 20 °/s |
blur_px_pred |
Stereo: gyro-predicted blur at image centre, px |
rotation_dps |
Camera rotation rate, °/s |
exposure_ms |
Stereo per-frame exposure time, ms |
single_both |
1 if a single MediaPipe pass detected both hands |
consensus_both |
1 if both hands present under the three-pass ±2-frame consensus |
Collection Process
Captured by Origin Data Lab with a head-mounted stereo + IMU rig and a body-worn Android phone. Layers were computed with the Field Note #06 and #07 pipelines and stereo_full_quality.py.
Quality Control
- Re-running
yield_analysis.pyon this file reproducesyield_results.jsonexactly. - Stereo layer consistency with Field Note #06: sharpness identical on overlapping frames, blur correlation 0.9996.
- Hand-detection overlap check: 100/100 re-run frames identical.
Key Results
| Recording | Frames | Frame yield | Clips ≥1 s | Clips ≥3 s | Clips ≥5 s |
|---|---|---|---|---|---|
| stereo_rig_full_session | 8,694 | 79.3% | 65.6% | 45.8% | 27.7% |
| phone_knife_prep | 1,979 | 56.6% | 26.3% | 11.7% | 0.0% |
| phone_seasoning | 1,978 | 66.7% | 55.2% | 42.9% | 33.0% |
Limitations
AI-only hand layer (no human verification); about 7 minutes of footage; sharpness is a proxy; no task annotation for the stereo session; devices, tasks and operators differ between recordings.
Licensing
Code: MIT License (LICENSE), Origin Data Lab’s own analysis code.
Data (per-frame table) and documentation: CC BY 4.0 (LICENSE-DATA-CC-BY-4.0.md). The released tables contain derived numeric measurements and flags; source videos, images, raw sensor data and calibration files are not included.
Personal and Sensitive Information
Numeric flags and measurements only — no images, video, audio, faces, locations or identifiers.
Citation
Origin Data Lab (2026). How Much Egocentric Capture Is Usable? Measuring Footage Yield for Robot-Learning Data. Technical Field Note #08. https://origindatalab.io/technical-field-notes/usable-footage-yield-egocentric-capture.html
Visual evidence
Figures are taken from the released technical-note package. Interpret with the original methods and limitations.
capture hours per accepted hour
clip yield vs tolerance
single cause rejections
stereo session timeline
yield funnel
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