JunlinHan/CropMix
Code of CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping
This tool helps machine learning engineers and researchers improve the training of computer vision models. It takes your existing image datasets and applies a multi-scale cropping technique to create richer, more diverse input images. This process leads to better-performing models for tasks like image classification, contrastive learning, and masked image modeling.
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Use this if you are training computer vision models and want to enhance their accuracy and robustness by providing more varied and informative training data.
Not ideal if you are working with non-image data or if your existing data augmentation strategies are already sufficient for your specific vision task.
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Last pushed
Oct 08, 2022
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