Threshold Optimization Tests
=============================
Date: Fri Jan  2 10:11:34 AM MST 2026

Common Parameters:
  Matching method: multi-ref (max)
  Reference logos: 20
  Refs per logo: 10
  Positive samples: 20
  Negative samples: 100
  Min matching refs: 3
  Seed: 42

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.05)
======================================================================
Date: 2026-01-02 10:29:26

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2358
  Similarity threshold:      0.7
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:      265
  False Positives:     288
  False Negatives:     141
  Total Expected:      369

Scores:
  Precision:  0.4792 (47.9%)
  Recall:     0.7182 (71.8%)
  F1 Score:   0.5748 (57.5%)

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.05)
======================================================================
Date: 2026-01-02 10:47:35

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2348
  Similarity threshold:      0.8
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:      233
  False Positives:     472
  False Negatives:     165
  Total Expected:      369

Scores:
  Precision:  0.3305 (33.0%)
  Recall:     0.6314 (63.1%)
  F1 Score:   0.4339 (43.4%)

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.1)
======================================================================
Date: 2026-01-02 11:05:34

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2357
  Similarity threshold:      0.8
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:      187
  False Positives:     375
  False Negatives:     208
  Total Expected:      369

Scores:
  Precision:  0.3327 (33.3%)
  Recall:     0.5068 (50.7%)
  F1 Score:   0.4017 (40.2%)

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.1)
======================================================================
Date: 2026-01-02 11:23:33

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2356
  Similarity threshold:      0.85
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:      160
  False Positives:     434
  False Negatives:     223
  Total Expected:      369

Scores:
  Precision:  0.2694 (26.9%)
  Recall:     0.4336 (43.4%)
  F1 Score:   0.3323 (33.2%)

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.15)
======================================================================
Date: 2026-01-02 11:41:47

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2359
  Similarity threshold:      0.85
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:      163
  False Positives:     410
  False Negatives:     220
  Total Expected:      369

Scores:
  Precision:  0.2845 (28.4%)
  Recall:     0.4417 (44.2%)
  F1 Score:   0.3461 (34.6%)

======================================================================
TEST: MULTI-REF MATCHING
Model: openai/clip-vit-large-patch14
Method: Multi-ref (max, min_refs=3, margin=0.15)
======================================================================
Date: 2026-01-02 12:00:00

Configuration:
  Embedding model:           openai/clip-vit-large-patch14
  Reference logos:           20
  Refs per logo:             10
  Total reference embeddings:189
  Positive samples/logo:     20
  Negative samples/logo:     100
  Test images processed:     2363
  Similarity threshold:      0.9
  DETR threshold:            0.5
  Random seed:               42

Results:
  True Positives:       84
  False Positives:      69
  False Negatives:     288
  Total Expected:      369

Scores:
  Precision:  0.5490 (54.9%)
  Recall:     0.2276 (22.8%)
  F1 Score:   0.3218 (32.2%)