Data Labeling tools for Computer Vision: a Review

Bibliographic Details
Main Author: Reis, Pedro Miguel Lima de Sousa
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/135873
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Data Labeling tools for Computer Vision: a ReviewReviewComputer VisionImage AnnotationData Labeling softwareSupervised Machine LearningMethodologies and ToolsDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceLarge volumes of labeled data are required to train Machine Learning models in order to solve today’s computer vision challenges. The recent exacerbated hype and investment in Data Labeling tools and services has led to many ad-hoc labeling tools. In this review, a detailed comparison between a selection of data labeling tools is framed to ensure the best software choice to holistically optimize the data labeling process in a Computer Vision problem. This analysis is built on multiple domains of features and functionalities related to Computer Vision, Natural Language Processing, Automation, and Quality Assurance, enabling its application to the most prevalent data labeling use cases across the scientific community and global market.Henriques, Roberto André PereiraRUNReis, Pedro Miguel Lima de Sousa2022-04-05T14:26:08Z2022-04-012022-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/135873TID:202988155enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:00:55Zoai:run.unl.pt:10362/135873Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:31:56.785206Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Data Labeling tools for Computer Vision: a Review
title Data Labeling tools for Computer Vision: a Review
spellingShingle Data Labeling tools for Computer Vision: a Review
Reis, Pedro Miguel Lima de Sousa
Review
Computer Vision
Image Annotation
Data Labeling software
Supervised Machine Learning
Methodologies and Tools
title_short Data Labeling tools for Computer Vision: a Review
title_full Data Labeling tools for Computer Vision: a Review
title_fullStr Data Labeling tools for Computer Vision: a Review
title_full_unstemmed Data Labeling tools for Computer Vision: a Review
title_sort Data Labeling tools for Computer Vision: a Review
author Reis, Pedro Miguel Lima de Sousa
author_facet Reis, Pedro Miguel Lima de Sousa
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Reis, Pedro Miguel Lima de Sousa
dc.subject.por.fl_str_mv Review
Computer Vision
Image Annotation
Data Labeling software
Supervised Machine Learning
Methodologies and Tools
topic Review
Computer Vision
Image Annotation
Data Labeling software
Supervised Machine Learning
Methodologies and Tools
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2022
dc.date.none.fl_str_mv 2022-04-05T14:26:08Z
2022-04-01
2022-04-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/135873
TID:202988155
url http://hdl.handle.net/10362/135873
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dc.language.iso.fl_str_mv eng
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