Mapillary Vistas Dataset v2.0
A diverse street-level imagery dataset with pixel‑accurate and instance‑specific human annotations for understanding street scenes around the world.
Dataset Description
The Mapillary Vistas Dataset is a large-scale street-level image dataset containing 25,000 high-resolution images annotated into 124 semantic object categories, of which 70 classes are instance-specific labels (v2.0). Annotation is performed in a dense and fine-grained style using polygons for delineating individual objects.
Features
- 25,000 high-resolution images
- 124 semantic object categories
- 100 instance-specifically annotated categories
- Global reach, covering 6 continents
- Variety of weather, season, time of day, camera, and viewpoint
License
This dataset is provided under the Creative Commons Attribution NonCommercial Share Alike (CC BY-NC-SA) license.
Terms of Use
By using this dataset, you agree to:
- Use this dataset in accordance with the CC BY-NC-SA license
- Comply with Mapillary Terms of Use
- Maintain confidentiality of the dataset as required
- Use for research and non-commercial purposes only
Original Source
- Dataset: Mapillary Vistas Dataset v2.0
- Provider: Mapillary Research
- Original URL: mapillary.com
Citation
Please cite the original Mapillary Vistas paper when using this dataset.
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