IMDLBenCo is a comprehensive framework for image manipulation detection and localization (IMLD) research. It provides a unified interface for training, evaluating, and benchmarking deep learning models on standard forensic datasets. The architecture centers around a modular design with registries for models, datasets, and post-processing functions, enabling easy experimentation. Key components include dataset handlers with built-in augmentation and edge mask generation, a distributed training loop with mixed precision support, and evaluation metrics compatible with multi-GPU synchronization. The project serves as both a library for researchers and a reproducible benchmark for state-of-the-art IMLD methods.
This repository is a curated list of links for image-related OSINT (Open Source Intelligence) tools and resources. It categorizes tools into reverse image search, stock image search, facial recognition, image investigation, and image manipulation. The repository contains no executable code, only a README.md file with the list of links. As such, it functions as a reference resource rather than a software application or data processing pipeline. The README provides organized tables and descriptions but lacks any code, data processing, or analytical components.