CanopyRS/NeonTreeEvaluation

NeonTreeEvaluation数据集是一个经过预处理的图像数据集，用于SelvaBox论文中的研究。数据集包含了图像的高度、宽度、所在的文件夹、图像名称、位置信息、图像本身、瓦片名称和注释信息，其中注释信息包括边界框、分割、区域、是否为群体、是否为RLE格式和类别。此外，瓦片元数据包括坐标参考系统、变换、边界、宽高、计数、数据类型和nodata值。数据集分为训练集、验证集和测试集，每个集合的大小和示例数量不同。数据集遵循cc-by-4.0许可。

The NeonTreeEvaluation dataset is a pre-processed image dataset used for research in the SelvaBox paper. The dataset includes image height, width, folder, image name, location, the image itself, tile name, and annotation information. Annotations include bounding boxes, segmentation, area, iscrowd, is_rle_format, and category. Additionally, tile metadata includes coordinate reference system, transform, bounds, width, height, count, data types, and nodata value. The dataset is split into training, validation, and test sets, each with different sizes and numbers of examples. The dataset is licensed under cc-by-4.0.