An Analytical Workflow for Clustering Forensic Images
Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards curating such datasets. In this work, we present a workflow for unsupervisedly clustering a large collection of forensic images. The workflow utilizes classic clustering on deep feature representation of the images in addition to domain-related data to group them together. Our manual evaluation shows a purity of 89\% for the resulted clusters.PDF Abstract
No code implementations yet. Submit your code now
Results from the Paper
Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.
No methods listed for this paper. Add relevant methods here