Sports Ball Detection And Tracking On 1
Métriques
Accuracy (%)
Average Precision (%)
F1 (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy (%) | Average Precision (%) | F1 (%) |
|---|---|---|---|
| real-time-cnn-based-segmentation-architecture | 17.5 | 8.5 | 19.5 |
| deepball-deep-neural-network-ball-detector | 50.7 | 49.2 | 64.4 |
| widely-applicable-strong-baseline-for-sports | 80.0 | 83.2 | 88.0 |
| widely-applicable-strong-baseline-for-sports | 77.9 | 79.9 | 86.5 |
| monotrack-shuttle-trajectory-reconstruction | 75.9 | 72.1 | 85.1 |
| widely-applicable-strong-baseline-for-sports | 57.5 | 56.5 | 70.4 |
| tracknetv2-efficient-shuttlecock-tracking | 73.8 | 72.3 | 83.6 |
| widely-applicable-strong-baseline-for-sports | 74.7 | 74.7 | 84.2 |