A Tour of Visualization Techniques for Computer Vision Datasets
This is an incremental survey that helps researchers and practitioners in computer vision by summarizing existing visualization methods for dataset analysis.
The paper surveys data visualization techniques for analyzing computer vision datasets to understand their properties and latent patterns, aiming to predict the impact on models and inform mitigation strategies.
We survey a number of data visualization techniques for analyzing Computer Vision (CV) datasets. These techniques help us understand properties and latent patterns in such data, by applying dataset-level analysis. We present various examples of how such analysis helps predict the potential impact of the dataset properties on CV models and informs appropriate mitigation of their shortcomings. Finally, we explore avenues for further visualization techniques of different modalities of CV datasets as well as ones that are tailored to support specific CV tasks and analysis needs.