This dataset contains 3,000 synthetic rail surface defect image–label pairs generated for training and benchmarking deep learning-based rail surface defect segmentation models. The dataset was developed to address the limited availability of annotated rail defect images commonly encountered in railway condition monitoring applications.
The synthetic image–label pairs were generated… See the full description on the dataset page: https://huggingface.co/datasets/szhou-17/Region-Aware-CGAN-based-Synthetic-Rail-Surface-Defect-Dataset.
