Image labels are wrong about drone-net

[chuanenlin]

The class ID is the first digit of each line in the label .txt files. In YOLO, the IDs start from 0 and increments by one for each new class. Since the labels are specifically for one class only (drone), all the labels have ID of 0.

[chuanenlin]

@JSGFJSG The labels are in the format: [class_id] [x_center] [y_center] [x_width] [y_width] which is the standard format for YOLO.

[JSGFJSG]

Could you explain how is stored the bounding box information in the label files?. Because if you draw the bounding box in the image, it is completely broken.

Thanks

[JSGFJSG]

@chuanenlin Why don't you use the bounding box coordinates normalized by image width and height as is indicated in https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects?. Thanks in advance.

[chuanenlin]

@JSGFJSG I haven't normalized the coordinates because this is the correct labeling format for the Linux (original) version of YOLO. However, I think it should be relatively straightforward to do normalization since you can easily find the image width and height of all raw images.