Automated vision inspection of rail surface cracks: A double-layer data-driven framework

•A double-layer data-driven framework is proposed to automate the image based rail surface crack detection.•The proposed framework is effective in both locating rail cracks and identifying their boundaries.•The proposed framework is computationally efficient.•Advantages of the proposed framework are validated by six benchmarking methods.