Use a computer vision model to detect objects and analyze images in your projects.
From the README
- Train Custom Data 🚀 RECOMMENDED: Learn how to train YOLOv5 on your own datasets.
- Tips for Best Training Results ☘️: Improve your model's performance with expert tips.
- Multi-GPU Training: Speed up training using multiple GPUs.
- PyTorch Hub Integration: Easily load models using PyTorch Hub.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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yolov5 has 57.7k stars on GitHub. It has been forked 17.5k times. yolov5 is written mainly in Python. It has been in active development since 2020. yolov5 is available under the AGPL-3.0 license. Its main topics are coreml, deep-learning, ios, machine-learning.
What is yolov5?
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Is yolov5 open source?
yolov5 is an open-source project. It is released under the AGPL-3.0 license.
Is yolov5 free?
Yes. yolov5 is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
What license does yolov5 use?
yolov5 is available under the AGPL-3.0 license.
What language is yolov5 written in?
yolov5 is written mainly in Python.
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