Coral reefs host a diverse mix of species, shaped by environmental conditions and geography. Knowing which coral species are found at different sites can reveal patterns in reef structure, change over time, and responses to local conditions.

**Coral Diversity at Reef Sites** is a machine learning competition focused on predicting which coral species are present at different reef locations. Participants are given site-level environmental and spatial data, along with species presence/absence labels for training.

The goal is to build models that can perform multi-label classification to predict species composition at 1600 test sites.