Case Studies :
Saving snow leopards with deep learning and computer vision on Spark :
Endangered snow leopards have proven difficult to study due to their remote habitat, expansive range, and elusive nature. In an attempt to gather data, biologists have set up motion-sensitive cameras in snow leopard territory. Over the years, more than 1 million images have been captured, but the classification process has been time-consuming. This takes valuable resources away from actual conservancy work. To solve this problem, the Snow Leopard Trust worked with Microsoft to build an image classification model using Azure Machine Learning, which includes Microsoft Machine Learning for Apache Spark. Rather than taking several hours, automated image classification can now be completed in three minutes. Know More