| --- |
| license: mit |
| tags: |
| - object-detection |
| - computer-vision |
| - yolov10 |
| datasets: |
| - detection-datasets/coco |
| sdk: gradio |
| sdk_version: 4.42.0 |
| --- |
| |
| ### 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} |
| } |
| ``` |
