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Investigate the Viability of Transfer Learning on the YOLOv9 Model #38

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OrangePear13 opened this issue Nov 6, 2024 · 0 comments
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vision Vision subteam / works with computer vision to interact with photos and identify important objects

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@OrangePear13
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Investigate the Viability of Transfer Learning on the YOLOv9 Model

Problem

Testing has shown that the untrained YOLOv9 model performs fairly well for detecting the required objects. It is possible that Transfer Learning could be used instead of retraining the whole model.

Solution

Once adequate training data is available, try creating a model based on YOLOv9 that has only undergone Transfer Learning (and Fine-Tuning)

@OrangePear13 OrangePear13 added the vision Vision subteam / works with computer vision to interact with photos and identify important objects label Nov 6, 2024
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vision Vision subteam / works with computer vision to interact with photos and identify important objects
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