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License for the TF Lite quantized version of YOLOv5 on Kaggle #13333
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👋 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:
RequirementsEnsure you have Python>=3.8.0 with all requirements.txt installed, including PyTorch>=1.8: git clone https:/ultralytics/yolov5
cd yolov5
pip install -r requirements.txt EnvironmentsYOLOv5 can be used in various verified environments:
StatusStay tuned for updates, and thank you for your patience! 😊 |
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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
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No response
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