I train some traffic signs that are symmetrically similar, then when i check signs, yolo is confused sometimes turn right sign detect as turn left. How can I resolve this problem. Is it related with unbalance dataset or another thing?
YOLO object detection confused when see symmetrically pics
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The general reasons for your error case will be
Data augmention. Remove the augmention step for your dataset. Re-train the model with raw data
Try to have as much as data possible for training. As per official docs, you must have 1000 images per instance in-order to have an average performing model. And also, be careful in not leading it to overfitting.