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license: mit
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license: mit
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## Dataset for clothes segmentation
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Based on [iMaterialist Dataset](https://www.kaggle.com/c/imaterialist-fashion-2019-FGVC6/data) with several adjustments:
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1. Filtered images with more than 1 person with no labeled clothes
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2. Compressed number of classes to 8: `'background', 'upperbody', 'upperbody_up', 'lowerbody', 'wholebody', 'wholebody_up', 'shoes', 'accesories'`
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3. Simple structure with 2 folders: images 512x512 in `.jpg` and corresponding segmaps 512x512 in `.npy`
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4. You can find example class and data vizualisation in `dataset.ipynb`
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If you find any bugs, please contact me on: [email protected]
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