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README.md
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---
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datasets:
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- detection-datasets/fashionpedia
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language:
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- en
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pipeline_tag: object-detection
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tags:
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- YOLOS
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- Object detection
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- KYC
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- Face detection
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base_model:
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- hustvl/yolos-small
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library_name: transformers
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---
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# YOLO-Face-4-KYC
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A fine-tuned YOLO model for detecting facial features and personal headwear, including glasses, hats, and masks — optimized for identity verification and KYC (Know Your Customer) applications. This model is built upon the YOLOS architecture and trained on a filtered and relabeled subset of the [Fashionpedia dataset](https://huggingface.co/datasets/detection-datasets/fashionpedia), focusing exclusively on categories relevant to liveness verification and facial compliance checks. For more details of the implementation, check out the source code [here](https://github.com/Genereux-akotenou/Yolo-Face-4-Kyc)
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## Supported Categories
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The model detects the following classes:
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```python
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CATEGORIES = [
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'face',
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'glasses',
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'hat',
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'mask',
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'headband',
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'head covering'
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]
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```
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<img src="https://raw.githubusercontent.com/genereux-akotenou/Yolo-Face-4-Kyc/master/docs-utils/img1.png" style="width: 15em;"/>
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