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a/recognization/docs/research/2026-09-28-recognition-architecture/DECISION.md b/recognization/docs/research/2026-09-28-recognition-architecture/DECISION.md index 8c4551b..9254ef2 100644 --- a/recognization/docs/research/2026-09-28-recognition-architecture/DECISION.md +++ b/recognization/docs/research/2026-09-28-recognition-architecture/DECISION.md @@ -728,10 +728,14 @@ Two live-path bugs surfaced while measuring this, both fixed: Coverage is still a gate (G1). Four 20 s pan replays of `add/image6.jpg` through the shipped lane name 63-70% of the in-catalog facings a window can show, at 76-84% precision (`score_stream.py` over -`data/evaluations/2026-09-29-session/stream/fin_*.json`). Van's contract on the -same stream answers more and is wrong far more often, which is the trade the -decision makes. The earlier "53 of 131 tracks" figure was a harness artifact -rather than a recognition limit. +`data/evaluations/2026-09-29-session/stream/fin_*.json`). Re-recorded +2026-09-29 with the calibrated accept lines +(`stream-gated/tracks_*.json`): 70-74% at 77-85%, with 0 wrong labels in all +three runs against 0-1 before, and 8-14 unknown false accepts - the +near-unknown case, which is the size gate's and the catalog's job rather than +the accept line's. Van's contract on the same stream answers more and is wrong +far more often, which is the trade the decision makes. The earlier "53 of 131 +tracks" figure was a harness artifact rather than a recognition limit. The shipped default scale now has test coverage. `make_session` builds only `matcher`-backend engines, so `scale == "local"` in `_on_classified` never ran @@ -885,7 +889,9 @@ on 2650 distractor crops and 109 image6 facings: far-unknown) with coverage left. On the shipped evaluator that is 66 % end-to-end at 95 % precision with 2 false accepts, against 75 % / 92 % / 4 at the old 2.0 line - the coverage is what the precision costs, and G2 is the gate -that says to pay it. +that says to pay it. At live resolution the same lines give 56 % end-to-end at +97 % precision with 1 false accept, so the calibration holds on the path the +phone actually uses and not only at full resolution. Reproduce: `.venv/bin/python code/eval_distractors.py --stock stock-lopia-clean --write data/external-shelves/wikimedia-commons data/external-shelves/wikimedia-commons-2`.