Benchmark
Detection
performance tested on Ascend 910(8p) with graph mode
| Name | 
Scale | 
BatchSize | 
ImageSize | 
Dataset | 
Box mAP (%) | 
Params | 
Recipe | 
Download | 
| YOLOv8 | 
N | 
16 * 8 | 
640 | 
MS COCO 2017 | 
37.2 | 
3.2M | 
yaml | 
weights | 
| YOLOv8 | 
S | 
16 * 8 | 
640 | 
MS COCO 2017 | 
44.6 | 
11.2M | 
yaml | 
weights | 
| YOLOv8 | 
M | 
16 * 8 | 
640 | 
MS COCO 2017 | 
50.5 | 
25.9M | 
yaml | 
weights | 
| YOLOv8 | 
L | 
16 * 8 | 
640 | 
MS COCO 2017 | 
52.8 | 
43.7M | 
yaml | 
weights | 
| YOLOv8 | 
X | 
16 * 8 | 
640 | 
MS COCO 2017 | 
53.7 | 
68.2M | 
yaml | 
weights | 
| YOLOv7 | 
Tiny | 
16 * 8 | 
640 | 
MS COCO 2017 | 
37.5 | 
6.2M | 
yaml | 
weights | 
| YOLOv7 | 
L | 
16 * 8 | 
640 | 
MS COCO 2017 | 
50.8 | 
36.9M | 
yaml | 
weights | 
| YOLOv7 | 
X | 
12 * 8 | 
640 | 
MS COCO 2017 | 
52.4 | 
71.3M | 
yaml | 
weights | 
| YOLOv5 | 
N | 
32 * 8 | 
640 | 
MS COCO 2017 | 
27.3 | 
1.9M | 
yaml | 
weights | 
| YOLOv5 | 
S | 
32 * 8 | 
640 | 
MS COCO 2017 | 
37.6 | 
7.2M | 
yaml | 
weights | 
| YOLOv5 | 
M | 
32 * 8 | 
640 | 
MS COCO 2017 | 
44.9 | 
21.2M | 
yaml | 
weights | 
| YOLOv5 | 
L | 
32 * 8 | 
640 | 
MS COCO 2017 | 
48.5 | 
46.5M | 
yaml | 
weights | 
| YOLOv5 | 
X | 
16 * 8 | 
640 | 
MS COCO 2017 | 
50.5 | 
86.7M | 
yaml | 
weights | 
| YOLOv4 | 
CSPDarknet53 | 
16 * 8 | 
608 | 
MS COCO 2017 | 
45.4 | 
27.6M | 
yaml | 
weights | 
| YOLOv4 | 
CSPDarknet53(silu) | 
16 * 8 | 
608 | 
MS COCO 2017 | 
45.8 | 
27.6M | 
yaml | 
weights | 
| YOLOv3 | 
Darknet53 | 
16 * 8 | 
640 | 
MS COCO 2017 | 
45.5 | 
61.9M | 
yaml | 
weights | 
| YOLOX | 
N | 
8 * 8 | 
416 | 
MS COCO 2017 | 
24.1 | 
0.9M | 
yaml | 
weights | 
| YOLOX | 
Tiny | 
8 * 8 | 
416 | 
MS COCO 2017 | 
33.3 | 
5.1M | 
yaml | 
weights | 
| YOLOX | 
S | 
8 * 8 | 
640 | 
MS COCO 2017 | 
40.7 | 
9.0M | 
yaml | 
weights | 
| YOLOX | 
M | 
8 * 8 | 
640 | 
MS COCO 2017 | 
46.7 | 
25.3M | 
yaml | 
weights | 
| YOLOX | 
L | 
8 * 8 | 
640 | 
MS COCO 2017 | 
49.2 | 
54.2M | 
yaml | 
weights | 
| YOLOX | 
X | 
8 * 8 | 
640 | 
MS COCO 2017 | 
51.6 | 
99.1M | 
yaml | 
weights | 
| YOLOX | 
Darknet53 | 
8 * 8 | 
640 | 
MS COCO 2017 | 
47.7 | 
63.7M | 
yaml | 
weights | 
 
performance tested on Ascend 910*(8p)
| Name | 
Scale | 
BatchSize | 
ImageSize | 
Dataset | 
Box mAP (%) | 
ms/step | 
Params | 
Recipe | 
Download | 
| YOLOv8 | 
N | 
16 * 8 | 
640 | 
MS COCO 2017 | 
37.3 | 
373.55 | 
3.2M | 
yaml | 
weights | 
| YOLOv8 | 
S | 
16 * 8 | 
640 | 
MS COCO 2017 | 
44.7 | 
365.53 | 
11.2M | 
yaml | 
weights | 
| YOLOv7 | 
Tiny | 
16 * 8 | 
640 | 
MS COCO 2017 | 
37.5 | 
496.21 | 
6.2M | 
yaml | 
weights | 
| YOLOv5 | 
N | 
32 * 8 | 
640 | 
MS COCO 2017 | 
27.4 | 
736.08 | 
1.9M | 
yaml | 
weights | 
| YOLOv5 | 
S | 
32 * 8 | 
640 | 
MS COCO 2017 | 
37.6 | 
787.34 | 
7.2M | 
yaml | 
weights | 
| YOLOv4 | 
CSPDarknet53 | 
16 * 8 | 
608 | 
MS COCO 2017 | 
46.1 | 
337.25 | 
27.6M | 
yaml | 
weights | 
| YOLOv3 | 
Darknet53 | 
16 * 8 | 
640 | 
MS COCO 2017 | 
46.6 | 
396.60 | 
61.9M | 
yaml | 
weights | 
| YOLOX | 
S | 
8 * 8 | 
640 | 
MS COCO 2017 | 
41.0 | 
242.15 | 
9.0M | 
yaml | 
weights | 
 
Segmentation
performance tested on Ascend 910(8p) with graph mode
| Name | 
Scale | 
BatchSize | 
ImageSize | 
Dataset | 
Box mAP (%) | 
Mask mAP (%) | 
Params | 
Recipe | 
Download | 
| YOLOv8-seg | 
X | 
16 * 8 | 
640 | 
MS COCO 2017 | 
52.5 | 
42.9 | 
71.8M | 
yaml | 
weights | 
 
Deploy inference
Notes
- Box mAP: Accuracy reported on the validation set.