Record Details

Biased Cars Dataset

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Biased Cars Dataset
 
Identifier https://doi.org/10.7910/DVN/F1NQ3R
 
Creator Madan, Spandan
Henry, Timothy
Dozier, Jamell
Ho, Helen
Bhandari, Nishchal
Sasaki, Tomotake
Durand, Fredo
Pfister, Hanspeter
Boix, Xavier
 
Publisher Harvard Dataverse
 
Description We introduce a challenging, photo-realistic dataset for analyzing out-of-distribution performance in computer vision: the Biased-Cars dataset. Our dataset features outdoor scene data with fine control over scene clutter (trees, street furniture, and pedestrians), car colors, object occlusions, diverse backgrounds (building/road textures) and lighting conditions (sky maps). Biased-Cars consists of 30K images of five different car models with different car colors seen from different viewpoints car colors varying between 0-90 degrees of azimuth, and 0-50 degrees of zenith across multiple scales. We provide labels for car model, color, viewpoint and scale. We also provide semantic label maps for background categories including road, sky, pavement, pedestrians, trees and buildings. Our dataset offers complete control over the joint distribution of categories, viewpoints, and other scene parameters, and the use of physically based rendering ensures photo-realism.
 
Subject Computer and Information Science
 
Language English
 
Contributor Madan, Spandan