Beyond Object Identification: A Giant-Leap into Pattern Discovery in Imagery Data

A critical question that arises after identifying the objects (or class labels) in an imagery database is: "How are the various objects discovered in an imagery database correlated with one another?" This article tries to answer this question by providing a generic framework that can facilitate the readers to discover hidden correlations between objects in the imagery database. The portion of this article is drawn from our work published in IEEE BIGDATA 2021 [1].) The framework to discover the correlation between the objects in an imagery database is shown in Figure 1. Demonstration: In this demo, we first pass the image data into a trained model (e.g., resnet50) and extract objects and their scores.