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yolov5m6-relu
Kalray/yolov5m6-relu
yolov5m6-relu 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 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
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Updated Oct 24, 2024
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.onnx144 MB · 100%
At a glance
- License
- gpl-3.0
- Access
- Public
- Created
- Jun 25, 2024
- Updated
- Oct 24, 2024
- SHA
- a57f192c
Datasets
Model card
From the Hugging Face model README
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}
}
- License
- gpl-3.0
- Created
- Jun 25, 2024
- Updated
- Oct 24, 2024