VFRAME is developed and maintained by Adam Harvey in Berlin with contributions from Jules LaPlace, Josh Evans, and a growing list of collaborators. VFRAME is being piloted with Mnemonic.org an organization dedicated to helping human rights defenders effectively use digital documentation of human rights violations and international crimes to support advocacy, justice and accountability.
VFRAME's image processing software is open-source (MIT licensed) and available at github.com/vframeio. Download object detection models using the Python CLI tools or try a online demo using the modelzoo.vframe.io.
The idea for VFRAME grew out of discussions at a 2017 Data Investigation Camp organized by Tactical Technology Collective in Montenegro. Through meeting with investigative journalists, human rights researchers, and digital activists from around the world it became clear that computer vision was a much needed tool in this community yet the solutions were nowhere in sight.
Since then VFRAME's mission has been to research, prototype, and deploy computer visions systems that accelerate the capabilities of human rights researchers and investigative journalists.
More precisely, the VFRAME project develops two main technologies: a core image processing engine to analyze large collections of videos (millions) or images (billions), and a synthetic data rendering system to generate high-fidelity training data. Together, these two approaches are being utilized to develop accurate object detectors capable of locating objects of interest (e.g. an RBK-250 tailfin or a 9N235 submunition) in millions of video files culled from online sources.
Stay tuned for more updates during 2022 including the release of a new 9N235 detector and the final models for the RBK-250, RBK-500, and AO-25RT submunition.
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