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CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus

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@@ -7,4 +7,5 @@ datasets:
 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_DeepLabv3Plus/blob/main/RDA_Deeplabv3plus_ResNet101_CCE_simple-epoch%3D02-step%3D1500-val_macro_f1%3D0.33333.ckpt)
 2) 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_DeepLabv3Plus/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) inference runs.
-3) 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_DeepLabv3Plus/blob/main/RDA_ResNet101_DeepLabv3plus_simple_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/blob/main/RDA_ResNet101_DeepLabv3plus_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_DeepLabv3Plus/blob/main/RDA_Deeplabv3plus_ResNet101_CCE_simple-epoch%3D02-step%3D1500-val_macro_f1%3D0.33333.ckpt)
 2) 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_DeepLabv3Plus/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) inference runs.
+3) The set of predicted labels generated by the model, that was passed to the evaluation code for computing metrics on the CRASAR-U-DROIDs dataset for both [adjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/resolve/main/CRASAR-U-DROIDs_RDA_preds_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/resolve/main/CRASAR-U-DROIDs_RDA_preds_unadjusted.json) formulations.
+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_DeepLabv3Plus/blob/main/RDA_ResNet101_DeepLabv3plus_simple_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_ResNet101_DeepLabv3Plus/blob/main/RDA_ResNet101_DeepLabv3plus_simple_unadjusted.yaml) formulations.