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Project management and quality assessment in the label creation process for machine learning (Detecting rooftops under the supervision of Occupy AI)

Ahmed Al Dada

Project management and quality assessment in the label creation process for machine learning (Detecting rooftops under the supervision of Occupy AI).

Rel. Giulia Bruno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2023

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Abstract:

Projects of machine learning are becoming more common, and proper project management methods and techniques are required to assure project success. To guarantee a good end, these initiatives must be well managed and the success criteria must be understood. Project management (PM) is a profession that has arisen to guarantee that project goals are realized by the use of project-specific knowledge, tools, and procedures. The purpose of this paper is to analyze rooftop detections using satellite images, under the supervision of Occupy AI, the company responsible for the project. The methodologies used in the paper are SCRUM and lean software development to help label the data given using Label Studio. The implication of the paper will lead to the project management role in machine learning for rooftop detections on satellite images.

Relators: Giulia Bruno
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 63
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: OCCUPY AI SRL
URI: http://webthesis.biblio.polito.it/id/eprint/26583
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