DATASET
Open Source Community
CLEVR
The CLEVR dataset is a diagnostic dataset for compositional language and elementary visual reasoning, designed to help researchers evaluate and develop models that can understand and answer questions about complex visual scenes.
Updated 1/16/2020
github
Description
CLEVR Dataset Overview
Dataset Description
- Name: CLEVR Dataset
- Purpose: Diagnostic for compositional language and elementary visual reasoning
- Origin: Proposed by Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Fei‑Fei Li, C Lawrence Zitnick, Ross Girshick at CVPR 2017
Dataset Generation
- Image Generation: Images rendered with Blender; a JSON file containing scene information for each image is provided.
- Question Generation: Questions, functional programs, and answers are generated from the scene information; a JSON file containing all questions is provided.
Dataset Content Examples
- Image Examples: Several synthetic images such as
images/img1.png…images/img6.png. - Question & Answer Examples:
- Q: How many small spheres are there?
- A: 2
- Q: How many cubes are small objects or red metallic objects?
- A: 2
- Q: Do the metal sphere and the metal cylinder share the same color?
- A: Yes
- Q: Are there more small cylinders than metal objects?
- A: No
- Q: Is there a shiny cube to the right of the blue ball behind the large yellow object?
- A: Yes
Citation
@inproceedings{johnson2017clevr,
title={CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning},
author={Johnson, Justin and Hariharan, Bharath and van der Maaten, Laurens
and Fei‑Fei, Li and Zitnick, C Lawrence and Girshick, Ross},
booktitle={CVPR},
year={2017}
}
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Topics
Visual Reasoning
Natural Language Processing
Source
Organization: github
Created: 5/22/2019
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