Data Labeling tools for Computer Vision: a Review
| Main Author: | |
|---|---|
| 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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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 |
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2022-04-05T14:26:08Z 2022-04-01 2022-04-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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http://hdl.handle.net/10362/135873 TID:202988155 |
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TID:202988155 |
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eng |
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openAccess |
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application/pdf |
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