Hi, first of all, thank you for releasing this great project!
I’m trying to fine-tune the model on my own dataset (custom images and annotations), but I couldn’t find a clear guide or example for doing so.
Could you please provide a short tutorial or documentation on how to train/fine-tune this model on a custom dataset (of COCO format)?
Even a minimal example or reference config file would be very helpful.
What I've Tried
-
I successfully set up the environment and ran inference on the provided pretrained model.
-
I’m familiar with the Detectron2 training pipeline (e.g., using register_coco_instances, DefaultTrainer etc.), but since your repo seems to have some custom training modules, configs and strategies, I’m unsure how to properly integrate my dataset into this workflow.
Hi, first of all, thank you for releasing this great project!
I’m trying to fine-tune the model on my own dataset (custom images and annotations), but I couldn’t find a clear guide or example for doing so.
Could you please provide a short tutorial or documentation on how to train/fine-tune this model on a custom dataset (of COCO format)?
Even a minimal example or reference config file would be very helpful.
What I've Tried
I successfully set up the environment and ran inference on the provided pretrained model.
I’m familiar with the Detectron2 training pipeline (e.g., using
register_coco_instances,DefaultTraineretc.), but since your repo seems to have some custom training modules, configs and strategies, I’m unsure how to properly integrate my dataset into this workflow.