Glenn Jocher
4 years ago
1 changed files with 5 additions and 5 deletions
+ 5
- 5
README.md
View File
| @@ -24,11 +24,11 @@ For business inquiries and professional support requests please visit us at http | |||
| | Model | AP<sup>val</sup> | AP<sup>test</sup> | AP<sub>50</sub> | Latency<sub>GPU</sub> | FPS<sub>GPU</sub> | | params | FLOPs | | |||
| |---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: | | |||
| | YOLOv5-s ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 33.1 | 33.0 | 53.3 | **3.3ms** | **303** | | 7.0B | 14.0 | |||
| | YOLOv5-m ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 41.5 | 41.5 | 61.5 | 5.5ms | 182 | | 25.2B | 50.2 | |||
| | YOLOv5-l ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 44.2 | 44.5 | 64.3 | 9.7ms | 103 | | 61.8B | 123.1 | |||
| | YOLOv5-x ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | **47.1** | **47.2** | **66.7** | 15.8ms | 63 | | 123.1B | 245.7 | |||
| | YOLOv3-SPP ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 45.5 | 45.4 | 65.2 | 8.9ms | 112 | | 63.0B | 118.0 | |||
| | YOLOv5-s ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 33.1 | 33.0 | 53.3 | **3.3ms** | **303** | | 7.0M | 14.0B | |||
| | YOLOv5-m ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 41.5 | 41.5 | 61.5 | 5.5ms | 182 | | 25.2M | 50.2B | |||
| | YOLOv5-l ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 44.2 | 44.5 | 64.3 | 9.7ms | 103 | | 61.8M | 123.1B | |||
| | YOLOv5-x ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | **47.1** | **47.2** | **66.7** | 15.8ms | 63 | | 123.1M | 245.7B | |||
| | YOLOv3-SPP ([ckpt](https://drive.google.com/open?id=1Drs_Aiu7xx6S-ix95f9kNsA6ueKRpN2J)) | 45.5 | 45.4 | 65.2 | 8.9ms | 112 | | 63.0M | 118.0B | |||
| ** AP<sup>test</sup> denotes COCO [test-dev2017](http://cocodataset.org/#upload) server results, all other AP results in the table denote val2017 accuracy. | |||
| ** All accuracy numbers are for single-model single-scale without ensemble or test-time augmentation. Reproduce by `python test.py --img-size 736 --conf_thres 0.001` | |||
Loading…