Camera traps are a critical part of wildlife monitoring but analyzing those videos is a big bottleneck. Developing an automated procedure is of the utmost importance to conservation research. While camera traps have become powerful non-invasive tools in research and conservation efforts, they can't yet autonomously label the species they observe. It takes a lot of valuable time to determine whether there are any animals present (or just passing winds), and if there are, which ones. Then, the DrivenData community used cutting edge computer vision techniques to turn those labels into algorithms for automated species detection.