模型仓库¶

检测任务¶

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

设备 Ascend 910*(8p) 测试结果

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

设备 Ascend 910(8p) 测试结果

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