UPDATE PRETRAINED
Pre-release
Pre-release
| Model | size (pixels) |
dataset |
mAPval 50-95 |
mAPval 50 |
Speed PyTorch RTX3090 (ms) |
params (M) |
FLOPs @640 (B) |
|---|---|---|---|---|---|---|---|
| YOLOv5x | 640 | COCO | 48.1 | 66.7 | 19.7 | 86.71 | 205.5 |
| YOLOv5l | 640 | COCO | 46.2 | 65.2 | 11.7 | 46.53 | 109.0 |
| YOLOv5m | 640 | COCO | 42.9 | 62.1 | 5.0 | 21.17 | 48.9 |
| YOLOv5s | 640 | COCO | 34.7 | 53.8 | 3.6 | 7.23 | 16.4 |
| YOLOv5n | 640 | COCO | 24.4 | 41.3 | 3.5 | 1.87 | 4.5 |
| YOLOv3 | 640 | COCO | 43.6 | 63.7 | 8.0 | 61.92 | 155.9 |
| YOLOv5s | 640 | VOC | 46.8 | 73.8 | 2.3 | 7.06 | 15.9 |
| YOLOv3 | 640 | VOC | 56.9 | 81.9 | 7.1 | 61.60 | 154.9 |
| YOLOv3-Tiny | 640 | VOC | 25.3 | 54.2 | 1.9 | 8.71 | 13.0 |
| Model | size (pixels) |
acc top1 |
acc top5 |
Training 90 epochs 4xRTX3090 (hours) |
Speed PyTorch RTX3090 (ms) |
params (M) |
FLOPs @224 (B) |
|---|---|---|---|---|---|---|---|
| YOLOv5s-cls | 224 | 64.9 | 86.0 | 38.831 | 0.3 | 6.45 | 11.4 |
| YOLOv3-cls | 224 | 68.3 | 88.2 | 56.517 | 1.0 | 16.81 | 98.6 |
| ResNet50 | 224 | 69.3 | 88.2 | 94.422 | 0.4 | 25.6 | 8.5 |
| EfficientNet_b0 | 224 | 71.0 | 90.2 | 77.515 | 0.5 | 5.3 | 1.0 |
Contributors
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