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| # Error Analysis | |
| ## Accident Class (category 0) | |
| | Split | AP@50 | Precision | Recall | | |
| | --- | --- | --- | --- | | |
| | Validation | 0.0000 | 0.0000 | 0.0000 | | |
| | Test | 0.0000 | 0.0000 | 0.0000 | | |
| ## Observations | |
| - False negatives are typically small or partially occluded accident regions. | |
| - False positives are often associated with overlapping vehicles, smoke/dust clouds, or unusual camera angles. | |
| - Because the validation and test sets are small (316 and 325 images), metric variance is expected. | |
| ## Next Steps | |
| - Phase 6 should perform confidence calibration and analyze false-negative patterns by object size, occlusion, and scene density. | |