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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)
The text was updated successfully, but these errors were encountered:
OrangePear13
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the
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Vision subteam / works with computer vision to interact with photos and identify important objects
label
Nov 6, 2024
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)
The text was updated successfully, but these errors were encountered: