Note Annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at The Wilds in Ohio. This dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. It includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format, and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones.

Note Annotated video frames of giraffes, Grevy's zebras, and Plains zebras collected at the Mpala Research Center in Kenya (as part of the KABR project in Jan. 2023). The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones. Annotations indicate the presence of animals in the images in YOLO format.

Note Annotated video frames of Plains zebras collected at the Ol Pejeta Conservancy (OPC) in Kenya using the semi-autonomous WildWing system. includes frames from various sessions, with annotations indicating the presence of zebras in the images in YOLO format. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery to facilitate research in wildlife monitoring and conservation using advanced imaging tech

imageomics/mmla

Object Detection • Updated Dec 22, 2025 • 33 • 2

Note Fine-tuned version of YOLOv11m optimized for detection and classification of wildlife from low-altitude drone imagery. It has been trained to identify zebras (Plains and Grevy's), giraffes (reticulated and Masai), Persian onagers, and African Painted dogs with high accuracy across diverse environmental conditions.