---
license: gpl-3.0
datasets:
- detection-datasets/coco
---

# Introduction

This repository stores the model for YOLOv5m6 (TI Lite), 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:       yolov5m6.optimized.onnx

# Lecture note reference


# Repository or links references

- repository: https://github.com/TexasInstruments/edgeai-yolov5/tree/main
- configuration : https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/opt.yaml
- weights: https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/weights/best.pt.link


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}
}
```