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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... -
Bosch Small Traffic Lights Dataset
Bosch Small Traffic Lights Dataset is an accurate dataset for vision-based traffic light detection. Vision-only based traffic light detection and tracking is a vital step on the... -
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...
