articleOct 1, 2017Closed access

The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes

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Abstract

The Mapillary Vistas Dataset is a novel, large-scale street-level image dataset containing 25000 high-resolution images annotated into 66 object categories with additional, instance-specific labels for 37 classes. Annotation is performed in a dense and fine-grained style by using polygons for delineating individual objects. Our dataset is 5× larger than the total amount of fine annotations for Cityscapes and contains images from all around the world, captured at various conditions regarding weather, season and daytime. Images come from different imaging devices (mobile phones, tablets, action cameras, professional capturing rigs) and differently experienced photographers. In such a way, our dataset has been…

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Authors

4

Topics & keywords

Keywords
  • Computer science
  • Segmentation
  • Benchmark (surveying)
  • Artificial intelligence
  • Annotation
  • Object (grammar)
  • Computer vision
  • Cover (algebra)
UN Sustainable Development Goals
  • Sustainable cities and communities
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