LeafNet75/In_the_Lab_masks

In_the_Lab_masks数据集包含实验室环境下拍摄的植物叶子（番茄）的单张图像及其对应的二值分割掩码。这些图像和掩码使用CVAT Segment Anything 2.0进行了注释，并用于训练计算机视觉模型进行图像分割任务。数据集包括原始RGB图像、单通道灰度分割掩码、原始图像文件名、图像宽高以及图像中注释的叶子数量等元数据。数据集共有129对图像-掩码。

The In_the_Lab_masks dataset contains single images of plant leaves (Tomato) in a lab environment and their corresponding binary segmentation masks. These images and masks are annotated using CVAT Segment Anything 2.0 and are intended for training computer vision models for image segmentation tasks. The dataset includes metadata such as the original RGB image, single-channel grayscale segmentation mask, original image filename, image width and height, and the number of annotated leaves in the image. The dataset consists of 129 image-mask pairs.