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demo/README.md

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+---
+license: mit
+tags:
+- object-detection
+- computer-vision
+- yolov10
+datasets:
+- detection-datasets/coco
+sdk: gradio
+sdk_version: 5.0.0b1
+---
+
+### Model Description
+[YOLOv10: Real-Time End-to-End Object Detection](https://arxiv.org/abs/2405.14458v1)
+
+- arXiv: https://arxiv.org/abs/2405.14458v1
+- github: https://github.com/THU-MIG/yolov10
+
+### Installation
+```
+pip install supervision git+https://github.com/THU-MIG/yolov10.git
+```
+
+### Yolov10 Inference
+```python
+from ultralytics import YOLOv10
+import supervision as sv
+import cv2
+
+IMAGE_PATH = 'dog.jpeg'
+
+model = YOLOv10.from_pretrained('jameslahm/yolov10{n/s/m/b/l/x}')
+model.predict(IMAGE_PATH, show=True)
+```
+
+### BibTeX Entry and Citation Info
+ ```
+@article{wang2024yolov10,
+  title={YOLOv10: Real-Time End-to-End Object Detection},
+  author={Wang, Ao and Chen, Hui and Liu, Lihao and Chen, Kai and Lin, Zijia and Han, Jungong and Ding, Guiguang},
+  journal={arXiv preprint arXiv:2405.14458},
+  year={2024}
+}
+```