2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, pp. 1-6
Railways Segmentation
Track segmentation on high-resolution railway imagery
Two SwiftNet models segment the rails on 2048×1084 frames from a locomotive-mounted camera.
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Algorithm
Stack
- Python 3.8
- Kedro
- MLFlow
- Pytorch
- LabelMe
Dataset
- 23200 images
- PNG/JPEG
- Vector labeling
- No augmentation
Training
- SwiftNet
- 50 epochs
- 2x GTX1080TI
- Full resolution