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  ---
 
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  tags:
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- - pytorch_model_hub_mixin
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- - model_hub_mixin
 
 
 
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  ---
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- This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- - Library: [More Information Needed]
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- - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: agpl-3.0
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  tags:
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+ - object-detection
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+ - computer-vision
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+ - yolov10
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+ datasets:
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+ - detection-datasets/coco
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  ---
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+ ### Model Description
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+ [YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1)
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+
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+ - arXiv: https://arxiv.org/abs/2405.14458v1
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+ - github: https://github.com/THU-MIG/yolov10
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+
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+ ### Installation
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+ ```
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+ pip install supervision git+https://github.com/THU-MIG/yolov10.git
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+ ```
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+
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+ ### Yolov10 Training/Validation/Prediction
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+ ```python
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+ from ultralytics import YOLOv10
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+
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+ model = YOLOv10.from_pretrained('jameslahm/yolov10s')
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+ # Training
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+ model.train(...)
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+ # after training, one can push to the hub
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+ model.push_to_hub("your-hf-username/yolov10-finetuned")
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+
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+ # Validation
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+ model.val(...)
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+
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+ # Prediction
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+ model.predict(...)
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+ ```
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+
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+ ### BibTeX Entry and Citation Info
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+ ```
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+ @article{wang2024yolov10,
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+ title={YOLOv10: Real-Time End-to-End Object Detection},
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+ author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
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+ journal={arXiv preprint arXiv:2405.14458},
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+ year={2024}
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+ }
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+ ```