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glenn-jocher avatar glenn-jocher commented on June 24, 2024

Hello,

It sounds like you're encountering an intriguing issue with your model's behavior between validation and prediction. Here are a couple of things you might want to check:

  1. Ensure Consistency in Image Preprocessing: Sometimes, discrepancies in how images are preprocessed between training/validation and inference can lead to such issues. Make sure that the same transformations and normalizations are applied.

  2. Check Confidence Thresholds: The model.predict() method might be using a higher confidence threshold by default compared to what model.val() used. Try lowering the confidence threshold in your predict call:

    results = model.predict('path/to/images', conf=0.25)  # Adjust the confidence threshold
  3. Model State: Ensure that the model is correctly loading the weights and is in evaluation mode during inference:

    model = YOLO('

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