finetune-anything

Why we included this project

Fine-tuning the Segment Anything Model on your own data is a practical route to a segmentation model for a specific domain, and finetune-anything automates most of that work. It wraps SAM's image encoder, prompt encoder, and mask decoder in adapters you can customize and freeze selectively, then runs the training and evaluation loop from a config file plus a task name. The semantic segmentation path is the usable part today, with training and validation working on torch-vision style datasets; matting, instance segmentation, and detection are still on the plan. That makes it a sensible starting point for teams that want to reuse SAM instead of building a pipeline from scratch. Expect an early-stage research codebase with few maintainers and no ONNX export yet, so budget time to read the source and adapt it to your setup.