Product

MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset
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MMLA is a multi-environment, multi-species drone dataset designed to improve wildlife detection in ecological monitoring by providing diverse, high-resolution video annotations for six species across three sites, enhancing model performance for autonomous drone systems.

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Species Group 

  • Mammals

Overview  

MMLA is a novel multi-environment, multi-species, low-altitude drone dataset designed to enhance wildlife detection in ecological and conservation monitoring. Collected from three diverse sites--Ol Pejeta Conservancy and Mpala Research Centre in Kenya, and The Wilds in Ohio-- includes high-resolution drone video annotations for six species: zebras, giraffes, onagers, and African wild dogs. With 811K annotations across 37 videos, MMLA addresses the limitations of standard detection models like YOLO, which struggle to generalize across locations and rare species.

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Cost range

  •  Free

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