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CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet

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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...
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- 1) The [model file](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/RDA_UNet_simple_noattention-epoch%3D05-step%3D3000-val_macro_iou%3D0.32182.ckpt)
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- 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_VanillaUNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) inference runs.
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- 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_VanillaUNet/blob/main/RDA_UNet_simple_noattention_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/RDA_UNet_simple_noattention_unadjusted.yaml) formulations.
 
 
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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...
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+ 1) The [model file](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/RDA_UNet_simple_noattention-epoch%3D05-step%3D3000-val_macro_iou%3D0.32182.ckpt).
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+ 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_AttentionUNet/resolve/main/CRASAR-U-DROIDs_RDA_preds_adjusted.json?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_AttentionUNet/resolve/main/CRASAR-U-DROIDs_RDA_preds_unadjusted.json?download=true) formulations that were used for evaluation.
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+ 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_VanillaUNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json) predicted labels.
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+ 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_VanillaUNet/blob/main/RDA_UNet_simple_noattention_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_VanillaUNet/blob/main/RDA_UNet_simple_noattention_unadjusted.yaml) formulations.