Overview

A diverse street-level imagery dataset with pixel‑accurate and instance‑specific human annotations for understanding street scenes around the world.

Features

• 25,000 high-resolution images
• 152 object categories
• 100 instance-specifically annotated categories
• Global reach, covering 6 continents
• Variety of weather, season, time of day, camera, and viewpoint

Citation

Please use the following citation when referencing the dataset:

@inproceedings{neuhold2017mapillary,
  title={The mapillary vistas dataset for semantic understanding of street scenes},
  author={Neuhold, Gerhard and Ollmann, Tobias and Rota Bulo, Samuel and Kontschieder, Peter},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={4990--4999},
  year={2017}
}