question about training VG data

[Nathan-Li123]

I've noticed an issue during training that when using my custom dataset (in VG format), the model's performance significantly degrades when different objects share the same description. How can I address this problem? If I treat the description sentences as class names and convert the custom dataset to an object detection (od) format, would that address this issue? Looking forward to your reply, thanks!

[Nathan-Li123]

I have now realized that the issue is not related to "different objects sharing the same description" mentioned earlier, but rather to poor training performance when using a smaller VG dataset. Could you confirm if the learning rates and other parameters used for finetuning with the VG format dataset are the same as those indicated in the config/cfg_odvg.py file? Or that's just the suitable parameters for the training with OD format datasets.

[Knivacke]

Hey! Did you get this to work? I'm trying to fine-tune the model for my master's thesis, but am honestly having a hard time getting it to work.