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Runway Object-Oriented Bounding Box (OBB) Segmentation Dataset v2
Dataset Description
This dataset contains aerial/satellite imagery for runway segmentation using oriented bounding boxes (OBB). The dataset is specifically designed for semantic segmentation tasks focusing on runway detection and delineation in aerial imagery.
Dataset Statistics
| Split | Images | Labels |
|---|---|---|
| Train | 303 | 303 |
| Val | 65 | 65 |
| Test | 65 | 65 |
Classes
{
"0": "_background_",
"1": "rwy_obb"
}
Usage
from datasets import load_dataset
dataset = load_dataset("Spatiallysaying/rwy_obb-300-65-65_v2")
# Load class mappings
import json
with open('id2label.json', 'r') as f:
id2label = json.load(f)
with open('label2id.json', 'r') as f:
label2id = json.load(f)
Data Format
- Images: RGB images in JPEG format
- Labels: Grayscale segmentation masks in PNG format
- Pixel values correspond to class IDs (0=background, 1=runway)
- Resolution: Variable (original image dimensions preserved)
Citation
@dataset{rwy_obb_300_65_65_v2,
title={Runway Object-Oriented Bounding Box Segmentation Dataset v2},
author={Spatiallysaying},
year={2026},
url={https://huggingface.co/datasets/Spatiallysaying/rwy_obb-300-65-65_v2}
}
License
MIT License
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