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Dataset assetOpen Source CommunityRailway Track InspectionCrack Detection
Railway Crack Detection Dataset
This dataset is intended for training models to detect cracks in railway tracks. It includes images of tracks with and without cracks, which have been properly annotated and pre‑processed to ensure quality.
Source
github
Created
Jul 12, 2024
Updated
Jul 12, 2024
Signals
436 views
Availability
Linked source ready
Overview
Dataset description and usage context
Railway Crack Detection Robot Dataset
Overview
- Source: Manually collected
- Content: Images of railway tracks both with and without cracks
- Processing: Proper annotation and pre‑processing steps were applied to guarantee dataset quality
Model Training
- Model Type: Convolutional Neural Network (CNN)
- Training Data: The manually collected dataset
- Training Script: Use the
model.pyscript for training or testing
Real‑Time Detection
- Realtime Script: Use the
realtime.pyscript for live crack detection - Configuration: Ensure the camera or video input is correctly configured
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