When whales are encountered near the surface of the ocean, it’s useful to be able to quickly assess their health for conservation and evaluation purposes. As part of our Data Science for the Common Good program, Master’s students Chhandak Bagchi and Gizem Cicekli developed a tool for identifying a whale from an aerial image.
In partnership with the World Resources Institute, a global research organization that works on issues such as energy efficiency and climate change, we examined vehicle usage in developing countries. There is often a lack of critical data for developing countries on vehicle purchases and usage patterns, which is a significant gap in sustainability research.
Use a computer-vision algorithm to automatically detect whether or not a photograph contains an animal for The Nature Conservancy to use with trail-cam footage.
In partnership with the MIT Sea Grant group, students worked to automate the detection and counting of herring fish species in image and video data for efficient fishery management