The exact training set used to train YOLO26n_RDD_FRDC_Distilled_v2. Unlike v1
(single Co-DETR teacher), v2 follows FRDC more closely by using two teachers and
Weighted Boxes Fusion (WBF) to combine their predictions.
Contents
GT train: the 4-class (D00/D10/D20/D40) Unified Road Defect Dataset
(RDD-2022 + UAV-PDD2023 + RoadDamageVision) with original ground-truth labels.
Pseudo-labeled test: the… See the full description on the dataset page:
https://huggingface.co/datasets/TamAko783/Unified_Road_Defect_FRDC_Pseudolabeled_v2.
