LILA BC

LILA BC serves as a central hub for labeled geospatial datasets, primarily focusing on wildlife imagery collected through camera traps and underwater video. These extensive collections are instrumental for researchers and developers in the fields of computer vision and machine learning, particularly for tasks such as species classification, object detection, and population monitoring.

The datasets originate from diverse global conservation initiatives and government programs, including the WWF-UK/UCL Biome Health Project in Kenya, the California Department of Fish and Wildlife, African Parks Network's work in Malawi, and the Snapshot Safari program. Each dataset is meticulously prepared, often including millions of images with detailed annotations, making them ideal for training and validating advanced AI models.

Key applications for these datasets involve understanding the impacts of land use and climate-related changes on wildlife populations, assessing biodiversity, and developing robust tools for environmental conservation. The platform facilitates access to high-quality, real-world data crucial for advancing ecological research and wildlife management strategies.