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3D Model Munitions Ukraine
2022 By Tech 4 Tracing, VFRAME

We are living through the most thoroughly documented wars in history — conflicts in which terabytes of images and videos are uploaded by citizens on platforms like YouTube. Many of these videos contain valuable clues about what is happening and who is responsible. Whilst there are too many videos for humans to review, technologies like machine learning, object recognition and 3D modelling can help automate the process. VFRAME applies these technologies in the service of human rights rather than surveillance or commercial purposes, training algorithms to recognise munitions in videos and to identify their provenance, first in Syria and now in Ukraine.
Adam Harvey, Jules La Place and Josh Evans

