Object detection accuracy ? you still need bounding box to measure detection accuracy
I will open a thread on this question in darknet googlegroup mailing list.


You should label each object on images from your dataset. Use this visual GUI-software for marking bounded boxes of objects and generating annotation files for Yolo v2 & v3: https://github.com/AlexeyAB/Yolo_mark


It will create .txt -file for each .jpg -image-file - in the same directory and with the same name, but with .txt -extension, and put to file: object number and object coordinates on this image, for each object in new line: <object-class> <x> <y> <width> <height>


  
      
      GitHub
  
  
    

AlexeyAB/darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used) - AlexeyAB/darknet