VisJSClassificator -- Manual Visual Collaborative Classification Graph-based Tool

TL;DR

This paper introduces VisJSClassificator, a collaborative graph-based tool designed to facilitate manual classification and labeling of images, especially useful for open set classification scenarios where automatic tools are limited.

Contribution

It presents a novel manual, collaborative classification tool leveraging graph representation to improve image labeling for open set classification tasks.

Findings

Enables manual collaborative classification of images.

Utilizes graph-based representation for flexible labeling.

Supports open set classification scenarios.

Abstract

Analysts need to classify, search and correlate numerous images. Automatic classification tools improve the efficiency of such tasks. However, classified data is a prerequisite to develop these tools. Labelling tools are of great use in case of already known classes, but seemed limited for Open Set Classification. This paper presents a manual and collaborative classification tool, which uses graph representation.