1.代码完成度

	SSD	RFB	FSSD	YOLOV1	YOLOV2	YOLOV3	YOLOV4	YOLOV5
train	👍	👍	👍	👍	👍	👍	👎	👎
eval	👍	👍	👍	👍	👍	👍	👎	👎
test	👍	👍	👍	👍	👍	👍	👍	👎

2.SSD

$300 \times 300$

	vgg16	resnet50	resnet152	darknet19	mobilenetv1
VOC-mAP	76.5%	79.2%	73.3%	74.4%	72.9%
VOC-Image
COCO-mAP	🐦	25.0%	🐦	20.7%	18.8%
COCO-Image	🐦		🐦

3.RFB

$300 \times 300$

	vgg16	resnet50	resnet152	darknet19	mobilenetv1
VOC-mAP	79.0%	🐦	🐦	76.2%	73.8%
VOC-Image		🐦	🐦
COCO-mAP	🐦	🐦	🐦	22.4%	19.0%
COCO-Image	🐦	🐦	🐦

4.FSSD

$300 \times 300$

	vgg16	resnet50	resnet152	darknet19	mobilenetv1
VOC-mAP	77.9%	74.0%	74.1%	78.2%	73.5%
VOC-Image
COCO-mAP	🐦	26.6%	🐦	25.2%	22.8%
COCO-Image	🐦		🐦

5.YOLO

YOLOv1

	Resnet50-7	Resnet50-14	resnet-7	resnet-14	vgg16-7	vgg16-14
VOC-mAP	61.1%	🐦	58.4%	🐦	🐦	🐦
VOC-Image		🐦		🐦	🐦	🐦
COCO-mAP	🐦	🐦	🐦	🐦	🐦	🐦
COCO-Image	🐦	🐦	🐦	🐦	🐦	🐦

YOLOv2

	darknet19	darknet19-tiny	resnet50
VOC-mAP	🐦	🐦	🐦
VOC-Image			🐦
COCO-mAP	🐦	🐦	🐦
COCO-Image		🐦	🐦

YOLOv3

	darknet53	tiny	spp
VOC-mAP	🐦	🐦	🐦
VOC-Image			🐦
COCO-mAP	🐦	🐦	🐦
COCO-Image

YOLOv4

	darknet	pacsp	pacsp-mish	pacsp-s	pacsp-s-mish	pacsp-x	pacsp-x-mish	paspp	tiny
VOC-mAP	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦
VOC-Image	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦
COCO-mAP	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦	🐦
COCO-Image								🐦	🐦

YOLOv5