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.