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license: cc-by-4.0
tags:
- computer-vision
- semantic-segmentation
- mining
- industrial-inspection
- monorail
- underground-environment
---
# Mine Monorail Track Segmentation Dataset
This dataset supports semantic segmentation of **mine-use suspended monorails** in simulated underground environments. It was collected in a dedicated experimental workshop provided by an industrial partner and includes images captured under diverse structural and illumination conditions to reflect realistic operational challenges.
## 📷 Data Collection
- **Camera**: Hikvision DS-2CD2820FWD
- **Sensor**: 1/2.8" Progressive Scan CMOS
- **Resolution**: 1280×720 (from native 1920×1080)
Images were captured in a controlled workshop that replicates key characteristics of underground monorail roadways, including track geometry, lighting variability, and common obstructions.
## 🗂️ Dataset Statistics
- **Total images**: 2,681
- **Annotation tool**: LabelMe (pixel-level precision)
- **Classes**:
- `0`: Background
- `1`: Monorail Track
- **Track configurations**:
- Straight segments
- Curved sections
- Ascending slopes
- Descending slopes
- **Illumination conditions**:
- Normal lighting
- Low-light
- Overexposed
Each image is paired with a single-channel PNG mask where pixel values correspond to class IDs.
## 🔧 Data Augmentation (for reference)
To improve model robustness under harsh mining conditions, the authors employed a specialized data augmentation pipeline during training that simulates:
- **Low-light scenarios** through controlled brightness reduction,
- **Sensor noise** via Gaussian and salt-and-pepper noise injection,
- **Dust interference** using color overlays, texture synthesis, and visibility attenuation.
> 💡 **Note**: The raw dataset contains only original images and ground-truth masks—**no augmented samples are included**. Full technical details of the augmentation strategy are provided in the associated paper (Section 4.5).
## 📁 Directory Structure
```monorail-seg/
├── images/
│ ├── Training_Input/
│ ├── Validation_Input/
│ └── Test_Input/
├── labels/
│ ├── Training_GroundTruth/
│ ├── Validation_GroundTruth/
│ └── Test_GroundTruth/
├── README.md
└── LICENSE
``` |