Object Detection on Airplane Class Images
60.23AccuracyFMOD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FMODTopology=MobileNet, Video Resolution=3840 x 21602026.02 | 60.23 | 53.36 | 0.035 | 0.1044 | |
| Proposed Object Detection MethodTopology=MobileNet, Video Resolution=3840 x 21602026.02 | 57.4 | 14.32 | 69.34 | 0.1168 | |
| FMODTopology=InceptionV4, Video Resolution=3840 x 21602026.02 | 49.99 | 82.31 | 0.09 | 0.0216 | |
| FMODTopology=ViT Base, Video Resolution=3840 x 21602026.02 | 46.01 | 67.05 | 0.048 | 0.0581 | |
| Proposed Object Detection MethodTopology=ViT Base, Video Resolution=3840 x 21602026.02 | 45.6 | 19.01 | 108.41 | 0.1644 | |
| Proposed Object Detection MethodTopology=InceptionV4, Video Resolution=3840 x 21602026.02 | 44.4 | 16.85 | 67.41 | 0.1234 | |
| FMODTopology=ResNet50, Video Resolution=3840 x 21602026.02 | 29.1 | 65.42 | 0.06 | 0.0267 | |
| Proposed Object Detection MethodTopology=ResNet50, Video Resolution=3840 x 21602026.02 | 28.4 | 15.68 | 69 | 0.0631 | |
| YOLOXTopology=YOLOX, Video Resolution=3840 x 21602026.02 | 25.9 | 39.8 | 274.65 | 0.0276 | |
| YOLOXTopology=YOLOX, Video Resolution=3840 x 21602026.02 | 23.11 | 76.74 | 0.063 | 0.0137 |