Images and segmentation annotations of cranberry fruit from a postharvest imaging platform

This data set provides the raw images and annotations from a postharvest berry imaging platform that was used to train an instance segmentation model. Downstream image processing of segmented berries measures the color, size, shape, and uniformity in a sample. Images were collected using a Nikon D7500 DSLR camera using manual shutter speed, focal length, f-stop, and ISO settings. The imaging platform was a custom-build LED lightbox and sample tray. The dataset contains 210 images with accompanying annotations in YOLOv8 format.本数据集提供了源自收获后浆果成像平台的原始图像与标注数据，该平台曾用于训练实例分割（instance segmentation）模型。针对分割后的浆果所开展的下游图像处理流程，可测定样本内浆果的颜色、尺寸、形态及均匀度。图像采集采用尼康（Nikon）D7500数码单反相机（DSLR），并配置了手动快门速度、焦距、光圈值（f-stop）与ISO感光度参数。该成像平台为定制化LED灯箱与样本托盘装置。本数据集共包含210张图像，配套标注采用YOLOv8格式。