I want to customize the YOLOv9 model according to my preferences to fit a custom dataset, how can I do it?

[TQ-Hung]

No description provided.

[Youho99]

Check Useful Links on the README, and issues !
#30 (comment)

[spacewalk01]

It is same as yolov5 except for training and inference commands. YOu need to prepare your dataset in yaml format:

# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: ../datasets/coco128  # dataset root dir
train: images/train2017  # train images (relative to 'path') 128 images
val: images/train2017  # val images (relative to 'path') 128 images
test:  # test images (optional)

# Classes (80 COCO classes)
names:
  0: person
  1: bicycle
  2: car
  ...
  77: teddy bear
  78: hair drier
  79: toothbrush