Introduction

This repository stores the model for YOLOv5, compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-model-zoo for details and proper usage WIKI.

ONNX model are described below:

Model	FLOPs	Params	mAP-50	mAP-50/95
yolov5nu.onnx	8.0 G	2.6 M	48.9 %	34.4 %*
yolov5su.onnx	24.4 G	9.1 M	58.9 %	43.1 %*
yolov5su_relu.onnx	24.4 G	9.1 M	54.7 %	39.0 %*
yolov5mu.onnx	64.9 G	25.0 M	65.0 %	49.3 %*
yolov5lu.onnx	136.1 G	53.1 M	68.2%	52.3 %*
yolov5xu.onnx	248.0 G	97.1 M	69.3 %	53.7 %*

Lecture note reference

Repository or links references

BibTeX entry and citation info

@software{yolov5,
  title = {Ultralytics YOLOv5},
  author = {Glenn Jocher},
  year = {2020},
  version = {7.0},
  license = {AGPL-3.0},
  url = {https://github.com/ultralytics/yolov5},
  doi = {10.5281/zenodo.3908559},
  orcid = {0000-0001-5950-6979}
}

Authors: Quentin Muller, qmuller@kalrayinc.com

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Dataset used to train Kalray/yolov5

Collection including Kalray/yolov5

Convolutional Neural Networks (CNNs) - object detection

Collection

Some convolution neural networks supported by kaNN. Task is object detection. See https://github.com/kalray/kann-model-zoo/WIKI.md for more details. • 16 items • Updated Jul 11, 2025

Kalray
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yolov5