Images and segmentation annotations of cranberry fruit from a postharvest imaging platform
Abstract
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.
Fields of Study & Subjects
Smart Agriculture and AI
Advanced Neural Network Applications
Industrial Vision Systems and Defect Detection
Publication details
- Journal / source
- Ag Data Commons
- Publication date
- 17 February 2026
- Language
- EN
- Document type
- Dataset