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CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet

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tmanzini commited on Jan 7

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@@ -5,7 +5,7 @@ datasets:
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 This repository contains a Road Damage Assessment model trained on the [CRASAR-U-DROIDs Road Damage Assessment dataset](https://huggingface.co/datasets/CRASAR/CRASAR-U-DROIDs). The following files are provided...
-1) The [model file](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_PSP_ResNet101_CCE_simple-epoch%3D25-step%3D13000-val_macro_f1%3D0.61267.ckpt)
 2) The set of predicted labels generated by the model on the CRASAR-U-DROIDs dataset for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/resolve/main/RDA_ResNet101_PSPNet_simple_adjusted.yaml?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/resolve/main/RDA_ResNet101_PSPNet_simple_unadjusted.yaml?download=true) formulations that were used for evaluation.
 3) Metrics files generated from test set evaluation on the CRASAR-U-DROIDs dataset for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) predicted labels.
 4) The full set of hyperparameters used to train and evaluate the model for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_ResNet101_PSPNet_simple_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_ResNet101_PSPNet_simple_unadjusted.yaml) formulations.

 ---
 This repository contains a Road Damage Assessment model trained on the [CRASAR-U-DROIDs Road Damage Assessment dataset](https://huggingface.co/datasets/CRASAR/CRASAR-U-DROIDs). The following files are provided...
+1) The [model file](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_PSP_ResNet101_CCE_simple-epoch%3D25-step%3D13000-val_macro_f1%3D0.61267.ckpt).
 2) The set of predicted labels generated by the model on the CRASAR-U-DROIDs dataset for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/resolve/main/RDA_ResNet101_PSPNet_simple_adjusted.yaml?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/resolve/main/RDA_ResNet101_PSPNet_simple_unadjusted.yaml?download=true) formulations that were used for evaluation.
 3) Metrics files generated from test set evaluation on the CRASAR-U-DROIDs dataset for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) predicted labels.
 4) The full set of hyperparameters used to train and evaluate the model for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_ResNet101_PSPNet_simple_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_PSPNet/blob/main/RDA_ResNet101_PSPNet_simple_unadjusted.yaml) formulations.