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CRASAR-U-DROIDs-RDA_AAAI26_Full_NoPretrained_ScaleMAE_UPerNet

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- ---
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- license: mit
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+ ---
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+ license: mit
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+ datasets:
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+ - CRASAR/CRASAR-U-DROIDs
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+ ---
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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_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/RDA_UperNet_NoPretrainTrain_CCE_Full-epoch%3D01-step%3D1000-val_macro_iou%3D0.08369-001.ckpt?download=true).
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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_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/CRASAR-U-DROIDs_RDA_preds_adjusted.json?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Full_NoPretrained_ScaleMAE_UPerNet/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_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/CRASAR-U-DROIDs_RDA_metrics_unadjusted.json?download=true) 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_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/RDA_scalemae_notrained_full_adjusted.yaml?download=true) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Full_NoPretrained_ScaleMAE_UPerNet/resolve/main/RDA_scalemae_notrained_full_unadjusted.yaml?download=true) formulations.