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Few-shot for YOLOv5 #8818
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👋 Hello @bzha5848, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ 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. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email [email protected]. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
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@bzha5848 see Transfer Learning with Frozen Layers tutorial: YOLOv5 Tutorials
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Description
Hi,
I'm wondering in terms of few-shot for yolov5, can we take coco128 as the dataset with the custom few-shot dataset as the training dataset, and how many layers are we supposed to freeze? Is that just freeze the backbone and train the head?
Thanks so much!!
Use case
No response
Additional
No response
Are you willing to submit a PR?
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