imageomics/kabr-methodology

这是一个经过精心策划的数据集，包含描述时间预算数据、焦点观察、扫描样本和物体检测注释的CSV和XML文件，用于非洲有蹄类动物——包括格氏斑马、平原斑马和长颈鹿——从地面和无人机上记录的数据。这个数据集补充了原始的KABR Mini-Scene Dataset，提供地面采样，以对应已发表的mini-scenes的子集。它特别设计用于比较肯尼亚动物行为观察方法，支持物体检测、行为分类和时间预算分析，以及焦点、扫描和基于无人机的采样方法之间的比较。

A curated collection of CSV and XML files describing time-budget data, focal observations, scan samples, and object-detection annotations for African ungulates—including Grevy’s zebras, plains zebras, and giraffes—recorded both from the ground and from drones. This dataset complements the original KABR Mini-Scene Dataset, providing ground-based sampling to correspond with a subset of the published mini-scenes. Specifically designed to compare Kenyan animal behavior observation methods, this dataset supports object detection, behavior classification and time-budget analysis, and methodological comparisons between focal, scan, and drone-based sampling.