Shypd.aiThe largest open index of AI toolsfinetune-anything is an open-source tool that allows users to fine-tune the Segment Anything Model (SAM) for various computer vision tasks. It supports semantic segmentation, matting, and detection in specific scenarios.
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finetune-anything is an open-source project designed to facilitate the fine-tuning of the Segment Anything Model (SAM) for a range of computer vision applications. It provides a class-aware, one-stage framework for training fine-tuned models based on SAM, supporting tasks such as semantic segmentation, matting, and instance segmentation. Users can supply their own datasets and specify the task name to obtain a fine-tuned model. The tool also allows for the design of custom extend-SAM models, offering flexibility in modifying the Image Encoder Adapter, Prompt Encoder Adapter, and Mask Decoder Adapter. It supports the entire training process, including model modification, training, verification, and testing, with an option for ONNX export for deployment.
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