reports/accident/error_analysis.md

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.