TamAko783/Unified_Road_Defect_Dataset

Unified Road Defect Dataset A merged, YOLO-format road-defect detection dataset that combines RDD-2022 (primary, ground-level, 6 countries) with two supplementary aerial/drone datasets — UAV-PDD2023 (China) and RoadDamageVision (China + Spain) — into a single 4-class CRDDC schema. This is a derived dataset. It re-packages and re-labels images from three independently published sources. All credit for the underlying images and original annotations belongs to their respective… See the full description on the dataset page: https://huggingface.co/datasets/TamAko783/Unified_Road_Defect_Dataset.

<iframe src="https://silytics.si/embed/item/80807c72-2feb-4ae2-bd2d-b9c985279da2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.