Research Article
Detecting Small Chinese Traffic Signs via Improved YOLOv3 Method
| Names | TT 100 k | Our dataset | mAP | FPS | mAP (%) | FPS |
| HOG + SVM [10] | 0.1 | 2.2 | 4.9 | 12.4 | Faster R-CNN [11] | 50.3 | 3.6 | 74.9 | 6.20 | YOLOv1 [13] | 16.9 | 41.0 | 57.8 | 72.0 | YOLOv1-tiny | 11.5 | 54.9 | 38.6 | 168.0 | YOLOv2 [14] | 19.8 | 31.2 | 65.1 | 93.7 | YOLOv3 [15] | 52.9 | 25.6 | 93.1 | 49.2 | YOLOv3 + fourth detection layer | 54.2 | 13.3 | 98.6 | 43.9 | Improved YOLOv3 (YOLOv3 + fourth detection layer + soft-NMS) | 54.3 | 13.3 | 98.8 | 43.8 |
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