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Hello,
I am currently working on a project that involves food segmentation, and I would like to leverage the FoodSAM model for transfer learning on my custom dataset. The goal is to improve the performance of the model on food segmentation tasks specific to my dataset. However, I am unsure how to approach this task and whether transfer learning is feasible with FoodSAM.
Could you provide guidance on the following points?
- Is it possible to perform transfer learning with FoodSAM on a custom dataset?
- If possible, what are the necessary steps to implement this? Are there any specific modifications or pre-processing requirements?
Any help or pointers would be greatly appreciated.
Thank you for your time and assistance.
Best regards,
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