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Dataset . 2021
License: CC BY
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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AgRobTomato Dataset: Greenhouse tomatoes with different ripeness stages

Authors: Magalhães, Sandro Augusto; Moreira, Germano; dos Santos, Filipe Neves; Cunha, Mário;

AgRobTomato Dataset: Greenhouse tomatoes with different ripeness stages

Abstract

Dataset of greenhouse tomatoes for object detection in Pascal VOC. This dataset was collected on two different days (August 6 and 8, 2020) at a greenhouse in Barroselas, Viana do Castelo, Portugal. Mobile robot AgRob v16, controlled by a human operator, was guided through the greenhouse inter-rows and captured RGB images of the tomato plants using a ZED camera, recording them as a video in a single ROSBag file. The video was converted into images by sampling a frame every 3 seconds to reduce the correlation between images but ensuring an overlapping ratio of about 60%. The images collected on the two days were merged, resulting in a dataset of 449 images with a resolution of 1280x720 px each. The images captured on August 8, 2020 were already publicly available at INESC TEC Research Data Repository (see: https://rdm.inesctec.pt/dataset/ii-2021-001). Manually labelled using the CVAT annotation tool, considering 4 ripeness classes: Unriped; Breaking Stage; Reddish; Riped; Framed within the activities of the ROBOCARE project, P2020 developed by INESC TEC (https://www.inesctec.pt/pt/projetos/robocare)

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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