Joint Track Auto (JTA)

by Matteo Fabbri,Fabio Lanzi,Simone Calderara,Andrea Palazzi,Roberto Vezzani,Rita CucchiaraUnknown

Joint Track Auto (JTA)

JTA (Joint Track Auto) is a huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V developed by Rockstar North. We collected a set of 512 full-HD videos (256 for training and 256 for testing), 30 seconds long, recorded at 30 fps. It has the following content: ~500K frames ~10M body poses 3D annotation Occlusion annotation

Dataset Attributes

Label SVG
TasksDetection
Label SVG
CategoriesHumans
Label SVG
SensorComputer Graphics