The Aerial Elephant Dataset: A new public benchmark for aerial object detection.

p, li { white-space: pre-wrap; } <pre>The dataset consists of 2101 images containing a total of 15 511 elephants. It is split into training and test subsets with 1649 images containing 12455 elephants in the training set and 452 images containing 3056 elephants in the test set. The resolution of the images varies between 2.4 cm/pixel and 13 cm/pixel, but the nominal resolution for each image is specified in the accompanying metadata, so it is a simple matter to resample images to a consistent GSD. Because acquired images often overlap, the same individuals may sometimes be seen in 2 or 3 consecutive images. Care has been taken with the train/test split to ensure that such clusters of related images are not split, thus maintaining independence of the training and test sets. </pre> <pre><br></pre> <pre>These images were acquired over the course of 8 separate campaigns in different environments.</pre><pre><br></pre>

本数据集共包含2101张图像，总计标注有15511头大象。数据集划分为训练集与测试集两个子集：训练集包含1649张图像，对应12455头大象；测试集包含452张图像，对应3056头大象。图像分辨率范围为2.4厘米/像素至13厘米/像素，每张图像的标称分辨率均在配套元数据中予以标注，因此可轻松将图像重采样至统一的地面采样距离（Ground Sample Distance, GSD）。由于采集的图像常存在重叠，同一头大象有时会出现在2至3张连续图像中。在训练集与测试集的划分环节已充分考量此类情况，确保此类关联图像簇不会被拆分，从而保证训练集与测试集的独立性。

本数据集的图像源自8次独立的航次采集，拍摄环境各不相同。