https://github.com/howardyclo/imagenet2coco
A demo for mapping class labels from ImageNet to COCO.
https://github.com/howardyclo/imagenet2coco
deep-learning detection few-shot-learning imagenet imagenet-dataset mscoco mscoco-dataset one-shot-learning zero-shot-learning
Last synced: 9 months ago
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A demo for mapping class labels from ImageNet to COCO.
- Host: GitHub
- URL: https://github.com/howardyclo/imagenet2coco
- Owner: howardyclo
- Created: 2019-05-07T07:50:54.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-07T08:09:03.000Z (about 7 years ago)
- Last Synced: 2025-04-18T19:41:07.288Z (about 1 year ago)
- Topics: deep-learning, detection, few-shot-learning, imagenet, imagenet-dataset, mscoco, mscoco-dataset, one-shot-learning, zero-shot-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 33.2 KB
- Stars: 11
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ImageNet2COCO
A [demo](https://github.com/howardyclo/ImageNet2COCO/blob/master/demo.ipynb) for mapping class labels from ImageNet to COCO. See [outputs](https://github.com/howardyclo/ImageNet2COCO/blob/master/imagenet2coco.txt) if you're lazy.