Python · MIT
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
★ 5.1k
Stars
1k forks · 0 open issues
−2.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
24.8
Momentum / 100
see the breakdown below
8y ago
Created
last push 14d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | −2.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.1 | last push 14d ago; decays to zero at 180 days |
| Scale | 15 | 10.7 | 5.1k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 24.8 | sum of the above |
Detail
| Topics | average-precisionbounding-boxesmean-average-precisionmetricsobject-detectionpascal-vocprecision-recall |
| Matched on | Computer Vision (object-detection) |
| Short window | +-2 stars over 7 days = -0.3/day |
| Long window | +-3 stars over 26 days = -0.1/day |
| Lifetime average | 1.65 stars/day over 3,088 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |