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README.md

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### Trained on [COCO](https://cocodataset.org/#home) (50 GB, 2017 challenge)
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```bash
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%%bash
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mkdir coco
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cd coco
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mkdir images
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cd images
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wget -c http://images.cocodataset.org/zips/train2017.zip
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wget -c http://images.cocodataset.org/zips/val2017.zip
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wget -c http://images.cocodataset.org/zips/test2017.zip
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wget -c http://images.cocodataset.org/zips/unlabeled2017.zip
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unzip train2017.zip
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unzip val2017.zip
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unzip test2017.zip
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unzip unlabeled2017.zip
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rm train2017.zip
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rm val2017.zip
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rm test2017.zip
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rm unlabeled2017.zip
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cd ../
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wget -c http://images.cocodataset.org/annotations/annotations_trainval2017.zip
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wget -c http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip
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wget -c http://images.cocodataset.org/annotations/image_info_test2017.zip
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wget -c http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip
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unzip annotations_trainval2017.zip
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unzip stuff_annotations_trainval2017.zip
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unzip image_info_test2017.zip
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unzip image_info_unlabeled2017.zip
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rm annotations_trainval2017.zip
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rm stuff_annotations_trainval2017.zip
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rm image_info_test2017.zip
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rm image_info_unlabeled2017.zip
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git clone https://github.com/AndreiMoraru123/ContextCollector.git
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cd ContextCollector
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make
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```
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#### Via the [Python API](https://github.com/cocodataset/cocoapi)

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