Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD For a detailed description of this dataset, following the datasheet for the datasets recommendation proposed by Gebru et al., check the README.md file. Motivation for Dataset Creation Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based monitoring and field robotics in viticulture. It provides instances from five different grape varieties taken on field. These instances shows variance in grape pose, illumination and focus, including genetic and phenological variations such as shape, color and compactness. What (other) tasks could the dataset be used for? Possible uses include relaxations of the instance segmentation problem: classification (Is a grape in the image?), semantic segmentation (What are the "grape pixels" in the image?), and object detection (Where are the grapes in the image?). The WGISD can also be used in grape variety identification.

The building of the WGISD dataset was supported by the Embrapa SEG Project 01.14.09.001.05.04, Image-based metrology for Precision Agriculture and Phenotyping, and the CNPq PIBIC Program (grants 161165/2017-6 and 125044/2018-6).

{"references": ["Santos, T.T., Souza, L.L., Santos, A.M., & Avila, S.E. (2019). Grape detection, segmentation and tracking using deep neural networks and three-dimensional association. ArXiv, abs/1907.11819."]}