ChiShengChen/ResVMamba
The official repository implement of Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning.
This project helps food industry professionals, researchers, or anyone interested in precise food identification to automatically categorize food items from images. You provide it with pictures of food, and it outputs a highly specific classification of the food category. This is ideal for those who need to distinguish between very similar food types, like different kinds of noodles or specific regional dishes.
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Use this if you need to accurately identify and classify specific food categories from images, especially when distinguishing between fine-grained differences.
Not ideal if you only need general food classification (e.g., 'fruit' vs. 'vegetable') or if your primary need is not image-based food recognition.
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Python
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Last pushed
Aug 07, 2025
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