3,475 high-resolution street scene images captured at 2048×1024 pixels. The dataset features dense pixel-level annotations across 35 distinct object and surface classes.
Use Cases
- Train semantic segmentation models using the 35-class pixel annotations and 2048×1024 image pairs
- Benchmark urban scene understanding algorithms on high-resolution street imagery
- Develop object detection systems for urban navigation using the labeled street scene data
Strengths
- 3,475 high-resolution images at 2048×1024 resolution
- Pixel-level semantic annotations for 35 distinct object classes
- Street scene imagery focused on urban environments