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  <img src="figures/banner-draw.png">
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  </p>
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- [![Licence](https://img.shields.io/github/license/Ileriayo/markdown-badges?style=flat)](LICENSE)[![Docker Pulls](https://img.shields.io/docker/pulls/hichtala/draw?logo=docker)](https://hub.docker.com/r/hichtala/draw/)[![Twitter](https://badgen.net/badge/icon/twitter?icon=twitter&label)](https://twitter.com/tiazden)
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- [![Model on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/model-on-hf-sm.svg)](https://huggingface.co/HichTala/draw)
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- [![Dataset on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-sm.svg)](https://huggingface.co/datasets/HichTala/yugioh_dataset)
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  DRAW (which stands for **D**etect and **R**ecognize **A** **W**ild range of cards) is the very first object detector
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  trained to detect _Yu-Gi-Oh!_ cards in all types of images, and in particular in dueling images.
 
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  <img src="figures/banner-draw.png">
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  </p>
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  DRAW (which stands for **D**etect and **R**ecognize **A** **W**ild range of cards) is the very first object detector
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  trained to detect _Yu-Gi-Oh!_ cards in all types of images, and in particular in dueling images.