This repository stores the model for YOLOv9-M, compatible with Kalray's neural network API.
Please see
www.github.com/kalray/kann-models-zoo
for details and proper usage.
@article{wang2024yolov9,
title={{YOLOv9}: Learning What You Want to Learn Using Programmable Gradient Information},
author={Wang, Chien-Yao and Liao, Hong-Yuan Mark},
booktitle={arXiv preprint arXiv:2402.13616},
year={2024}
}
@article{chang2023yolor,
title={{YOLOR}-Based Multi-Task Learning},
author={Chang, Hung-Shuo and Wang, Chien-Yao and Wang, Richard Robert and Chou, Gene and Liao, Hong-Yuan Mark},
journal={arXiv preprint arXiv:2309.16921},
year={2023}
}
Runs of Kalray yolov9m on huggingface.co
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More Information About yolov9m huggingface.co Model
yolov9m huggingface.co is an AI model on huggingface.co that provides yolov9m's model effect (), which can be used instantly with this Kalray yolov9m model. huggingface.co supports a free trial of the yolov9m model, and also provides paid use of the yolov9m. Support call yolov9m model through api, including Node.js, Python, http.
yolov9m huggingface.co is an online trial and call api platform, which integrates yolov9m's modeling effects, including api services, and provides a free online trial of yolov9m, you can try yolov9m online for free by clicking the link below.
yolov9m is an open source model from GitHub that offers a free installation service, and any user can find yolov9m on GitHub to install. At the same time, huggingface.co provides the effect of yolov9m install, users can directly use yolov9m installed effect in huggingface.co for debugging and trial. It also supports api for free installation.