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GrassLiv-3: A UAV-Based Grassland Livestock Detection Dataset

Dataset Description

GrassLiv-3 is a high-resolution UAV imagery dataset developed for livestock detection in grassland environments. It contains 568 UAV images with 40,811 annotated instances across three livestock categories: cattle, horses, and sheep. The dataset covers grassland environments in Inner Mongolia, China, and presents challenges such as small object sizes, dense distributions, occlusions, and complex background textures.

Dataset Statistics

Category Instances
Cattle 4,541
Horse 1,185
Sheep 35,085
Total 40,811

Related Publication

DAFS-YOLO: Dense-Aware Feature Enhancement for UAV-Based Grassland Livestock Detection in Dense Sheep Scenes.

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