I'm testing out YOLOv3 using the 'darknet' binary, and custom config. It trains rather slow.

My testing out is only with 1 image, 1 class, and using YOLOv3-tiny instead of YOLOv3 full, but the training of yolov3-tiny isn't fast as expected for 1 class/1 image.

The accuracy reached near 100% after like 3000 or 4000 batches, in similarly 3 to 4 hours. 

**Why is it slow with just 1 class/1 image?**