Training on Custom Tinier-YOLO Dataset

[rafferino]

I've created a custom dataset by following the original YOLO guidelines here:
https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects

It is unclear to me how to train on the Tinier Yolo architecture to produce the necessary .npy files. Is this possible at all? If so what are some good resources to help me proceed?

Thanks!

[B1D1ng]

I've created a custom dataset by following the original YOLO guidelines here:
https://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects

It is unclear to me how to train on the Tinier Yolo architecture to produce the necessary .npy files. Is this possible at all? If so what are some good resources to help me proceed?

Thanks!

Hey！I have the same question! Have you succeed training your own dataset?