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Add the B2 human review of the drone nominal pool Frames leave the pool for three independent reasons, reported separately and never summed: hazard 4/427 (0.9%), nadir framing 276, ground-level capture 29. Usable pool 120. Anything computing a deployment false-alarm rate against the scene inventories must apply exclude_ids_combined — without it the rate is scored over 307 frames a human already rejected.
#9 opened about 2 months ago
by 
brad
Add Stage-1 scene inventories for the drone nominal pool (427 frames) AeroScapes + Wilds Drones, Stage-1 only by contract: attaching hazard text to scenes whose entire value is carrying none would make any false-alarm rate computed against them circular. Pair with reviews/b2_contamination_result.json, which cuts the usable pool from 427 to 120.
#8 opened about 2 months ago
by brad
Add neutral scene grounding for the dense corpus (2,018 frames) Stage-1 grounding produced by qwen3.6-27b: what is visible, no safety judgment. This is the evidence the deployed SOS pipeline scores, as opposed to the hazard annotations, which were written by a hazard-seeking prompt. Reasoning mode OFF — with it on, the model's untagged chain-of-thought is parsed as scene sentences (56-58 per frame instead of 8-10, carrying the very hazard words the grounding rule forbids). D4 lint: 3 warnings / 2,018 frames; 0 overlong.
#7 opened about 2 months ago
by brad
Add annotations: ttpla_drone_v1 Images: 180 | Records: 180 | Subsets: ttpla | Robots: drone Descriptions: 761 | Review flags: 0 (0.0%)
#6 opened about 2 months ago
by brad
Add annotations: gt_corpus_v1 Images: 244 | Records: 976 | Subsets: grand_tour | Robots: quadruped, wheeled, humanoid, drone Descriptions: 6086 | Review flags: 363 (6.0%)
#5 opened about 2 months ago
by brad