yolov3mobile
This project originated from the excellent ultralytics/yolov3 repository and aims to implement light mobile object detector.
Credit: Ayoosh Kathuria
Data Preparation
- COCO
- COCO_person, 训练集60000张, 验证集4115张
- WiderPerson, 训练集8000张, 验证集1000张
- Citypersons, 训练集2112张, 验证集487张
- ICCVWider, 包括监控(sur)和自动驾驶(ad), 训练集58026张, 验证集3233张
- WIDERFace, 训练集12881张, 验证集3220张
- AI-Challenger single, 训练集22446张, 验证集1500张
- AI-Challenger, 训练集210000张, 验证集30000张
Type |
Dataset |
Train data |
Val data |
CC |
COCO_person |
60000 |
4115 |
WP |
WiderPerson |
8000 |
1000 |
CP |
City_person |
2112 |
487 |
Wsur |
ICCV_sur |
5563 |
2369 |
Wad |
ICCV_ad |
52436 |
864 |
ACS |
AI-Challenger |
22446 |
1500 |
AC |
AI-Challenger |
210000 |
30000 |
WF |
WIDERFace |
12880 |
3226 |
Benchmark
COCO detection
Network |
Input size |
FLOPS |
Params |
COCO mAP@0.5 |
Weight size |
MobileNetV2-YOLOv3-Lite |
320 |
1.86G |
1.97M |
40.1 |
7.8MB |
MobileNetV2-YOLOv3-Nano |
320 |
0.55G |
0.87M |
30.4 |
3.6MB |
Person detection(single class)
Network |
Input size |
Train data |
Val data |
FLOPS |
Params |
mAP@0.5 |
Weight size |
MobileNetV2-YOLOv3-Nano |
320 |
CC+WP+CP |
CC+WP+CP |
0.48G |
0.71M |
50.3 |
2.9M |
MobileNetV2-YOLOv3-Nano-3yolo |
320 |
CC+WP+CP |
CC+WP+CP |
0.69G |
0.76M |
56.3 |
3.2M |
YOLOv3-Ultra |
320 |
CC+WP+CP |
CC+WP+CP |
0.11G |
0.1M |
46.1 |
515K |
YOLOv3-Ultra |
320 |
CC+WP+CP+Wsur |
CC+WP+CP |
0.11G |
0.1M |
45.4 |
515K |
YOLOv3-Ultra |
320 |
CC |
CC |
0.11G |
0.1M |
48.1 |
515K |
MobileNetV2-YOLOv3-Nano |
320 |
AC |
AC |
0.48G |
0.71M |
57.0 |
2.9M |
YOLOv3-Ultra |
320 |
AC |
AC |
0.11G |
0.1M |
44.5 |
515K |
Face detection(single class)
Network |
Input size |
Train data |
Val data |
FLOPS |
Params |
Weight size |
mAP@0.5 |
Weight size |
Easy |
Medium |
Hard |
Retinaface-m0.25 |
320 |
WF |
WF |
- |
- |
1.68M |
- |
1.68M |
74.5 |
55.3 |
23.2 |
YOLOv3-Ultra |
320 |
WF |
WF |
110M |
0.1M |
515K |
35.8 |
516K |
75.507 |
71.034 |
43.083 |
MobileNetV2-YOLOv3-Nano-3yolo |
320 |
WF |
WF |
0.69G |
0.76M |
3.2M |
39.2 |
3.2M |
83.464 |
79.303 |
47.205 |