License for the TF Lite quantized version of YOLOv5 on Kaggle

kruska7 commented 1 month ago

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Question

The license is stated as Apache 2.0 for the TF Lite quantized version of YOLOv5 on Kaggle. Is this possible and correct, and can it be used under this license? I was at the impression that the license for YOLOv5 is AGPL-3.0.

https://www.kaggle.com/models/kaggle/yolo-v5/tfLite/tflite-tflite-model/1

Additional

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UltralyticsAssistant commented 1 month ago

👋 Hello @kruska7, thank you for reaching out and for using YOLOv5! 🚀

The question about licensing is important. While I can't answer this directly here, please know that an Ultralytics engineer will look into it soon and provide further clarification.

For now, if this involves a potential bug or error, kindly provide a minimum reproducible example to help us better understand the issue.

Here are some resources that might help you explore more about YOLOv5 in the meantime:

💻 Check out our ⭐️ Tutorials for guidance, including Custom Data Training.
🚀 Discover the latest updates with YOLOv8 and see why it's an exciting advancement in object detection!

Requirements

Ensure you have Python>=3.8.0 with all requirements.txt installed, including PyTorch>=1.8:

git clone https://github.com/ultralytics/yolov5
cd yolov5
pip install -r requirements.txt

Environments

YOLOv5 can be used in various verified environments:

Notebooks:
Other options: Docker

Status

Stay tuned for updates, and thank you for your patience! 😊

pderrenger commented 1 week ago

@kruska7 the official license for YOLOv5 is AGPL-3.0. If you see a different license, such as Apache 2.0, for a specific model version on Kaggle, it might be an error. Please verify with the model provider on Kaggle to ensure compliance with the correct licensing terms.

ultralytics / yolov5