crossrefSensors2024-08-13Cited by 4
Specifics of Data Collection and Data Processing during Formation of RailVista Dataset for Machine Learning- and Deep Learning-Based Applications
Gulsipat Abisheva, Nikolaj Goranin, Bibigul Razakhova, Tolegen Aidynov, Dina Satybaldina
This paper presents the methodology and outcomes of creating the Rail Vista dataset, designed for detecting defects on railway tracks using machine and deep learning techniques. The dataset comprises 200,000 high-resolution images categorized into 19 distinct classes covering var…