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---
license: gpl-3.0
datasets:
- detection-datasets/coco
---
# Introduction
This repository stores the model for YOLOv5, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-model-zoo for details and proper usage [WIKI](https://github.com/kalray/kann-model-zoo/wiki). </br>
# Contents
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
- repository: https://github.com/ultralytics/yolov5
- configuration : https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/models/v5/yolov5.yaml
- weights:
- https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5nu.pt
- https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5su.pt
- https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5mu.pt
- https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5lu.pt
- https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5xu.pt
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, <[email protected]>
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