A opensource investigation collecting evidence of the presence of Russian army in the border region of Donetsk, eastern Ukraine in late summer 2014. The investigation used Geolocation, 3D Modelling, Data mining, Machine Learning and Open-source intelligence (OSINT) Methodologies. To save valuable time of researchers and investigators a machine learning classifier was trained partly on synthetic data. The trained classifier was applied to recognize military vehicles, and tanks in videos from YouTube. By using machine learning and computer vision they patch together evidence that Russian military personnel and hardware indeed were present in Ukraine. Charges that Russia has denied. The evidence was submitted to the European Court of Human Rights
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