RafanoSet: Dataset of manually and automatically annotated Raphanus Raphanistrum weed images for object detection and segmentation

This dataset is a collection of manually and automatically annotated multispectral Images over Raphanus Raphanistrum infestations among Wheat crops.The images are categorized in two directories namely 'Manual' and 'Auotmated'. The sub-directory 'Manual' consists of manually acquired 85 images in .PNG format and annotations in COCO segmentation format titled region_data.json. Whereas, the sub-directory 'Automated' consists of 80 automatically annotated images in .JPG format and 80 annotation files in .XML Pascal VOC format.

The scientific framework of image acquisition and annotations are explained in the Data in Brief paper. This is just a prerequisite to the data article.

Roles:

The image acquisition was performed by Mariano Crimaldi, a researcher, on behalf of Department of Agriculture and the hosting institution University of Naples Federico II, Italy.Shubham Rana has been the curator and analyst for the data under the supervision of his PhD supervisor Prof. Salvatore Gerbino. They are affiliated with Department of Engineering, University of Campania 'Luigi Vanvitelli'. We are also in the process of articulating a data-in-brief article associated with this repository

Domenico Barretta, Department of Engineering has been associated in consulting and brainstorming role particularly with data and annotation management and litmus testing of the datasets.