In this competition, participants will predict the presence and species of wildlife in new camera trap data from the Snapshot Serengeti project, which boasts over 6 million images.
Camera traps are motion-triggered systems for passively collecting animal behavior data with minimal disturbance to their natural tendencies. Camera traps are an invaluable tool in conservation research, but the sheer amount of data they generate presents a huge barrier to using them effectively.
The Competitor challenging data scientists, researchers, and developers from around the world to build the best algorithms for wildlife detection.
Submission to this Challenge must be received by 00.00 UTC, Jan. 22, 2020.