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yolov9m
Kalray/yolov9m
yolov9m is a machine learning model from Kalray. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
This repository stores the model for YOLOv9-M, compatible with Kalray's neural network API. </br Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br
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Public
Updated Oct 29, 2024
Repo size
80.1 MB
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.onnx80.1 MB · 100%
At a glance
- License
- gpl-3.0
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 29, 2024
- SHA
- 5eb1dfdf
Datasets
Model card
From the Hugging Face model README
Introduction
This repository stores the model for YOLOv9-M, compatible with Kalray's neural network API. </br> Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Contents
- ONNX: yolov9m.optimized.onnx
Lecture note reference
Repository or links references
- repository: https://github.com/WongKinYiu/yolov9
- weights: https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-m-converted.pt
BibTeX entry and citation info
@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}
}
- License
- gpl-3.0
- Created
- Oct 24, 2024
- Updated
- Oct 29, 2024