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README.md
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classification_train.csv
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classification_test.csv
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classification_val.csv
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data-bib.bib
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```
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**
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<!-- [Add instructions for downloading images here]
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* Move to the `files and versions` tab
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* Git clone the repository to obtain
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* Move all the images from each chunk to your target directory. Use the target directory as the flat image directory for the dataset.
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### Data Instances
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chunk_6
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ND_Processing_Files
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download_and_process_nd_images.py
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classification_train.csv
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classification_test.csv
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classification_val.csv
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data-bib.bib
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```
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**Instructions for downloading dataset**
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<!-- [Add instructions for downloading images here]
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* Move to the `files and versions` tab
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* Git clone the repository to obtain all images, CSVs and necessary files
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* Move all the images from each chunk in `Images` to your target directory. Use the target directory as the flat image directory for the dataset.
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* Run `download_and_process_nd_images.py` with --save_dir set to your target directory from the previous step.
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* This will download and process the CC-BY-ND images that we do not provide in the `Images` folder
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### Data Instances
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