birdid-api / data /openset /threshold.json
Mohit Kumar
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{
"method": "entropy",
"score": "entropy@T=2",
"temperature": 2.0,
"threshold": 5.077694892883301,
"target_tpr": 0.95,
"tpr": 0.9501466275659824,
"auroc": 0.9450439882697947,
"fpr_near_bird": 0.46153846153846156,
"fpr_animal": 0.0,
"fpr_nonanimal": 0.03333333333333333,
"held_out": {
"threshold": 5.049897265434265,
"tpr": 0.9122807017543859,
"fpr_near_bird": 0.38461538461538464,
"fpr_animal": 0.0,
"fpr_nonanimal": 0.0,
"seed": 42
},
"n_id": 341,
"n_ood": 200,
"checkpoint": "best_bird_model_inference.pth",
"manifest_sha256": "d5deab2482502cafaca22dd8ad088af4a831cb755cb34fd7213e69117688061c",
"created": "2026-08-09",
"note": "Fitted by scripts/fit_openset.py. Accept an input as one of the 200 known species when score <= threshold. Rerun after changing the checkpoint \u2014 logit scale is checkpoint-specific and a stale threshold silently rejects real birds."
}