Leakage-Controlled Road Damage Classification Dataset and Code
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SUPERSEDED by version 3 (https://doi.org/10.5281/zenodo.23066322): the label-provenance statement in this description and in the README inside this archive is inaccurate (the labels are model-assisted, not independent of the detector). Please use version 3. This release supports the reproducibility of the companion paper's Stage 1 (image classification) result: macro-F1 = 0.9528 on a leakage-controlled, locked test set, across four road damage classes (D00: longitudinal crack, D10: transverse crack, D20: alligator crack, D40: pothole). Contents:- 21,041 cropped road-damage images (one folder per class), extracted from 94 driving sessions and letterbox-resized to preserve their original aspect ratio- manifest_with_split_v3.csv: full manifest with each image's session, frame ID, damage class, and its assigned split (train/validation/test) under a leakage-controlled protocol that checks for session-level, temporal, and spatial data overlap- Trained model weights (PyTorch) for the final classifier: a partially fine-tuned YOLO11s-OBB backbone plus a small classification head- Python code to rebuild the leakage-controlled split, train the model, and evaluate it on the locked test set Ground truth labels were produced by human annotation in CVAT, in a process separate from the object detector's own predictions. Not included: raw driving-session videos and precise GPS trajectories (privacy), the sensor time-series data used in the sensor-fusion experiments of the companion paper, and the pretrained backbone checkpoint. The classification backbone (YOLO11s-OBB) was pretrained separately on the IRDD dataset (Taher, 2026, https://doi.org/10.5281/zenodo.21167531), which contains no overlap with the images released here. Version 2 corrects the model name (YOLO11s-OBB, not YOLOv11n-OBB) and some wording in version 1, and renames the split script to 01_build_leakage_controlled_split.py. The data files are unchanged. See README.md inside the archive for the folder structure and reproduction steps.
