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+ ---
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+ datasets:
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+ - detection-datasets/fashionpedia_4_categories
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+ language:
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+ - en
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+ base_model:
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+ - Ultralytics/YOLOv8
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+ pipeline_tag: object-detection
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+ ---
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+
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+
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+ This model is a finetuned version of YOLO-v8n on clothing detection.
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+
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+ ### Object categories
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+
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+ - Clothing
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+ - Shoes
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+ - Bags
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+ - Accessories
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+
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+ You can get more information (and code 🎉) on how to train or use the model on my [github].
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+
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+ [github]: https://github.com/kesimeg/YOLO-Clothing-Detection
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+
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+ # How to use the model?
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+
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+ - Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):
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+
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+ ```bash
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+ pip install ultralyticsplus==0.0.23 ultralytics==8.0.21
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+ ```
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+
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+
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+ - Load model and perform prediction:
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+
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+ ```python
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+ from ultralyticsplus import YOLO, render_result
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+
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+ # load model
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+ model = YOLO('kesimeg/yolov8n-clothing-detection')
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+
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+ # set image
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+ image = 'some_image.jpg'
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+
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+ # perform inference
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+ results = model.predict(image)
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+
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+ # observe results
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+ print(results[0].boxes)
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+ render = render_result(model=model, image=image, result=results[0])
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+ render.show()
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+ ```
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+
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+ <div align="center">
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+ <img width="640" alt="kesimeg/yolov8n-clothing-detection" src="https://huggingface.co/kesimeg/yolov8n-clothing-detection/resolve/main/sample_output.png">
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+ </div>