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| title: YOLO-World-Image | |
| emoji: π | |
| colorFrom: indigo | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 4.40.0 | |
| app_file: app.py | |
| pinned: true | |
| license: gpl-3.0 | |
| ## Citations | |
| If you find YOLO-World is useful in your research or applications, please consider giving us a star π and citing it. | |
| ```bibtex | |
| @inproceedings{Cheng2024YOLOWorld, | |
| title={YOLO-World: Real-Time Open-Vocabulary Object Detection}, | |
| author={Cheng, Tianheng and Song, Lin and Ge, Yixiao and Liu, Wenyu and Wang, Xinggang and Shan, Ying}, | |
| booktitle={Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR)}, | |
| year={2024} | |
| } | |
| ``` | |
| ## Licence | |
| YOLO-World is under the GPL-v3 Licence and is supported for commercial usage. If you need a commercial license for YOLO-World, please feel free to contact us. |