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@@ -66,7 +66,7 @@ Each `.txt` file contains a list of image and label paths for its respective cat
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  1. **Training**: Use `train_phantom.txt` to load training data for the phantom data source.
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  2. **Validation**: Use `valid_animal.txt` and `valid_phantom.txt` for validating model performance on different data sources, specifically focusing on the 'animal' and 'phantom' data.
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- This structure supports streamlined data loading and management for training, validating, and testing collision detection algorithms.
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  For more information, please visit our [webpage](https://airvlab.github.io/cathaction/).
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  1. **Training**: Use `train_phantom.txt` to load training data for the phantom data source.
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  2. **Validation**: Use `valid_animal.txt` and `valid_phantom.txt` for validating model performance on different data sources, specifically focusing on the 'animal' and 'phantom' data.
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  For more information, please visit our [webpage](https://airvlab.github.io/cathaction/).
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