5 datasets found

Tags: Annotated Images

Filter Results
  • Caltech Pedestrian Detection Benchmark

    The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About...
  • SYNTHIA Dataset

    The SYNTHetic collection of Imagery and Annotations is a dataset that has been generated with the purpose of aiding semantic segmentation and related scene understanding...
  • MIT DriveSeg Dataset

    DriveSeg contains more precise, pixel-level representations of many of the common road objects, but through the lens of a continuous video driving scene. This type of full scene...
  • PandaSet

    Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suite...
  • Joint Attention for Autonomous Driving (JAAD) Dataset

    JAAD is a dataset for studying joint attention in the context of autonomous driving. In particular, the focus is on pedestrian and driver behaviors at the point of crossing and...