VFRAME
A computer vision toolkit built for human rights researchers and investigative journalists, bringing state-of-the-art object detection to the large video and image archives of conflict-zone documentation — including a high-performance detector for the 9N235/9N210 cluster submunition.
For the latest results on this research visit → https://vframe.io/9n235/
VFRAME.io (Visual Forensics and Metadata Extraction) is a computer vision toolkit designed for human rights researchers. It aims to bridge the gap between state-of-the-art artificial intelligence used in the commercial sector and make it accessible and tailored to the needs of human rights researchers and investigative journalists working with large video or image datasets. VFRAME is under active development and was most recently presented at the Geneva International Center for Humanitarian Demining (GICHD) Mine Action Technology Workshop in November 2021.
VFRAME began as an exploration in 2017 with researchers at the Syrian Archive in Berlin to determine if computer vision could be applied to their archive. During the last 4 years, the VFRAME project has developed several techniques to carry forward this goal, resulting in the latest research on detecting a submunition appearing often in conflict zone documentation from Ukraine. Read more about it here https://vframe.io/9n235/
Below is an example of the latest research using photography, photogrammetry, 3D-rendering, 3D-printing, and convolutional neural networks to build a high-performance submunition detector.
