YOLOv3: An Incremental Improvement

Benchmark Model Rank Results
pedestrian-detection-on-dvtodYOLOv3 (Thermal)#2mAP: 82.7
pedestrian-detection-on-dvtodYOLOv3 (Visible)#6mAP: 34.5
classification-on-indlDarknet53#7Average Recall: 88.53%
robust-object-detection-on-cityscapesPhotometric distortion#12mPC [AP]: 16.9
real-time-object-detection-on-coco-test-devYOLOv3-608#22box AP: 33.0FPS (batch 1, GPU in brackets): 20 (Titan X)
object-detection-on-coco-oYOLOv3 (DarkNet-53)#41Average mAP: 14.8Effective Robustness: -0.37