fangvv/RTFD-Dataset
Images to Classify Defective and Non-Defective Railway Track
This project provides a collection of standardized images for training automated systems to identify faults on railway tracks. It takes various images of railway tracks, both with and without defects, and classifies them into specific defect types. This resource is invaluable for railway engineers, maintenance professionals, and anyone involved in ensuring the safety and operational efficiency of train lines.
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Use this if you need a pre-labeled dataset of railway track images to develop or test an automated defect detection system.
Not ideal if you are looking for a real-time defect detection application rather than a dataset for model training.
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Python
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Last pushed
Aug 25, 2023
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