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. This is where AI can help!

In the Hakuna Ma-Data Challenge, participants built models to tag species from a new trove of camera trap imagery provided by the Snapshot Serengeti project. To power more accurate and generalizable models, this competition featured over five terabytes of data—2.65 million sequences of camera trap images, totalling over 7 million images—for training and testing species tagging models.

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