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CRASAR-U-DROIDs-RDA_AAAI26_Simple_Pretrained_ScaleMAE_UPerNet

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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
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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_Simple_Pretrained_ScaleMAE_UPerNet/blob/main/RDA_UperNet_PretrainTrain_CCE_Simple-epoch%3D18-step%3D4750-val_macro_iou%3D0.26394.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_Pretrained_ScaleMAE_UPerNet/blob/main/CRASAR-U-DROIDs_RDA_metrics_adjusted.json) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_Pretrained_ScaleMAE_UPerNet/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_Pretrained_ScaleMAE_UPerNet/blob/main/RDA_ScaleMAE_Pretrained_UPerNet_simple_adjusted.yaml) and [unadjusted](https://huggingface.co/CRASAR/CRASAR-U-DROIDs-RDA_AAAI26_Simple_Pretrained_ScaleMAE_UPerNet/blob/main/RDA_ScaleMAE_Pretrained_UPerNet_simple_unadjusted.yaml) formulations.