What if I use yolov5 in inner commercial project?
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Question
Hi there,
I'm considering using YOLOv5 in an internal commercial project focused solely on detecting potential fire risks. This project will only be used within our company's internal network and will not be accessible externally.
Given this context, do I need to purchase an enterprise license? If not, am I required to open source my code?
Thank you!
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π Hello @haohancom, thank you for your interest in YOLOv5 π! Please visit our βοΈ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.
Thank you for your licensing question! This is an automated response to acknowledge your inquiryβan Ultralytics engineer will review and assist you soon. In the meantime, you may want to review our License file and documentation for further details.
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Requirements
Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install
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Hi @haohancom!
For internal commercial use of YOLOv5, you'll need an Ultralytics Enterprise License as the AGPL-3.0 license requires full open-sourcing of any derivative works, including internal usage. The AGPL-3.0 applies to all usage scenarios, not just external distribution, and mandates that projects incorporating YOLOv5 must release their entire source code publicly.
For commercial applications like your fire risk detection system, an Enterprise License provides the flexibility to use YOLOv5 without open-sourcing requirements and is specifically designed for business use cases.
π Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
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