CanopyRS/SelvaBox
收藏Hugging Face2025-07-31 更新2025-11-01 收录
下载链接：
https://hf-mirror.com/datasets/CanopyRS/SelvaBox
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资源简介：
SelvaBox是一个用于热带树冠检测的高分辨率数据集。它由来自巴西、厄瓜多尔和巴拿马的14个重采样的高分辨率正射影像组成，重采样后的地面采样距离为4.5厘米。这些正射影像被分割成2400多张图像，包含超过8.3万个热带树冠的人体边界框注释。数据集分为训练集、验证集和测试集，每个集的大小和注释数量都在README文件中有详细说明。数据集旨在训练用于热带雨林树木实例检测的模型。
SelvaBox is a high-resolution dataset for tropical tree crown detection. It consists of 14 rasters resampled at 4.5 cm GSD from three different countries: Brazil, Ecuador, and Panama. These rasters were tiled into more than 2400 images, containing over 83,000 unique human bounding box annotations for tropical tree crowns in dense canopies. The dataset is split into training, validation, and test sets, with detailed information about their sizes and number of annotations provided. It is designed to train instance detection models specifically for tropical trees in the rainforests of Central and South America.
提供机构：
CanopyRS
