VFrame by Adam Harvey: Machine learning for Human Rights researchers and Investigative Journalists1042
VFRAME is a computer vision toolkit designed for human rights researchers and investigative journalists
Project from Adam Harvey creates tools using Machine Learning for human rights researchers and investigative journalists – the video above demonstrates visual recognition of munition and shells:
Accelerating Human Rights Investigations with Computer Vision
People caught in conflict zones such as the Syrian conflict frequently post videos online that contain critical information for human rights investigations. But manually reviewing these videos is expensive, does not scale, and can cause vicarious trauma. As an increasing number of videos are posted, a new approach is needed.
VFRAME is a computer vision framework being developed to address these demands. It provides researchers and technologists with access to state-of-the-art tools to locate objects of interest, extract visual metadata, query related media, organize and annotate custom datasets, and provide filtering for traumatic content.
VFRAME is currently working directly with the Syrian Archive to establish the most effective and relevant tools for improving their workflow. Phase 1 of VFRAME will research and develop the following capabilities: