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MOTSynth is a huge dataset for pedestrian detection and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North.

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Summary

MOTSynth is a huge dataset for pedestrian detection and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North.

1,375,200

Images in dataset

2021

Year Released

Key Links & Stats

@inproceedings{fabbri21iccv, title = {MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?}, author = {Matteo Fabbri and Guillem Bras{\'o} and Gianluca Maugeri and Aljo{\v{s}}a O{\v{s}}ep and Riccardo Gasparini and Orcun Cetintas and Simone Calderara and Laura Leal-Taix{\'e} and Rita Cucchiara}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2021} }

scenebox

Modalities

  1. Still Image
  2. Video

Verticals

  1. A/V

ML Task

  1. Image Classification
  2. Object Detection

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