- end-to-end
- extremely fast (base YOLO : 45 FPS, Fast YOLO : 155 FPS, other SOTA 7~20 FPS)
- YOLOv1-VGG16 mAP : 66.4% vs FasterRCNN mAP : 73.2% (Pascal VOC 2007 Test)
- small objects do not detect well.
- each grid cell only predicts two boxes and can only have one class.
- GoogleNet -> ResNetv2-50, VGG16, Inception ResNet v2
- Removed the responsible part.
| Class | (self) YOLOv1-VGG16 | (self) YOLOv1-ResNetv2-50 |
|---|---|---|
| aeroplane | 75.23% | 68.38% |
| bicycle | 78.30% | 70.28% |
| bird | 67.54% | 63.91% |
| boat | 55.93% | 49.64% |
| bottle | 64.49% | 57.35% |
| bus | 78.75% | 81.63% |
| car | 77.83% | 71.31% |
| cat | 79.14% | 78.95% |
| chair | 63.65% | 56.38% |
| cow | 73.61% | 72.50% |
| diningtable | 68.76% | 66.00% |
| dog | 80.46% | 76.45% |
| horse | 79.26% | 70.27% |
| motorbike | 80.54% | 73.30% |
| person | 75.69% | 70.37% |
| pottedplant | 54.15% | 56.02% |
| sheep | 79.67% | 75.43% |
| sofa | 71.64% | 67.10% |
| train | 74.86% | 76.29% |
| tvmonitor | 76.21% | 73.99% |
| Model | Train | mAP@50 |
|---|---|---|
| (paper) Faster-RCNN VGG16 | Pascal VOC 2007 + 2012 | 73.2% |
| (paper) YOLOv1 VGG16 | Pascal VOC 2007 + 2012 | 66.4% |
| (self) YOLOv1 VGG16 | Pascal VOC 2007 + 2012 | 72.78% |
| (self) YOLOv1 ResNet-v2-50 | Pascal VOC 2007 + 2012 | 68.78% |
| (self) YOLOv1 Inception-ResNet-v2 | Pascal VOC 2007 + 2012 | 69.05% |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent