Cornell Birdcall Identification
The Cornell Lab of Ornithology’s Center for Conservation Bioacoustics (CCB)’s mission is to collect and interpret sounds in nature. The CCB develops innovative conservation technologies to inspire and inform the conservation of wildlife and habitats globally. By partnering with the data science community, the CCB hopes to further its mission and improve the accuracy of soundscape analyses.
In this competition, you will identify a wide variety of bird vocalizations in soundscape recordings. Due to the complexity of the recordings, they contain weak labels. There might be anthropogenic sounds (e.g., airplane overflights) or other bird and non-bird (e.g., chipmunk) calls in the background, with a particular labeled bird species in the foreground. Bring your new ideas to build effective detectors and classifiers for analyzing complex soundscape recordings!
- 1st Place - $12,000
- 2nd Place - $8,000
- 3rd Place - $5,000
- September 8, 2020 - Entry deadline. You must accept the competition rules before this date in order to compete.
- September 8, 2020 - Team Merger deadline. This is the last day participants may join or merge teams.
- September 15, 2020 - Final submission deadline.