Mapillary

Mapillary is a platform designed to enhance mapping and urban planning by leveraging user-generated street-level imagery. It allows users to capture and share photos of their surroundings, which are then used to improve map data and support various applications in fields like transportation, urban planning, and geographic analysis. The app facilitates the collection of visual data that can be integrated with OpenStreetMap (OSM) and other mapping systems, providing valuable insights into urban environments.

Key features of Mapillary include the ability to contribute to collaborative mapping efforts, utilize street-level imagery for better navigation and planning, and support the development of more accurate and detailed maps. The platform is particularly useful for applications requiring high-resolution, ground-level data, such as urban planning, traffic analysis, and environmental monitoring. By engaging a community of users to contribute photos, Mapillary helps create a comprehensive visual database that can be used to enhance mapping services and support geospatial research.

The Mapillary Vistas dataset, which is part of the platform, offers a diverse collection of urban scenes from around the world, making it a valuable resource for researchers and developers working on projects related to computer vision, autonomous vehicles, and urban development. This dataset is often used in conjunction with other datasets like Cityscapes to evaluate and improve models for tasks such as semantic segmentation and object detection in complex urban environments.