| KEYWORD |
Area Architettura
Labelling di immagini per ottimizzazione di algoritmi di Intelligenza Artificiale
Parole chiave DATA PROCESSING, DEEP LEARNING, IMAGE PROCESSING, INTELLIGENZA ARTIFICIALE
Riferimenti SANDRO MOOS, LUCA ULRICH, ENRICO VEZZETTI
Gruppi di ricerca 3D LAB
Tipo tesi COMPILATIVA
Descrizione Accurate image labeling is a crucial step for training neural networks in various application fields, such as object recognition, medical diagnostics, autonomous driving, and much more. This process involves assigning descriptive tags to images to provide structured data that neural networks can be trained on. The quality of the labels directly affects the performance of the neural network, making the adoption of effective and reliable methodologies essential.
This thesis aims to improve the performance of a neural network for the personalized analysis of the physical ergonomics of workers according to the principles of Industry 5.0.
Scadenza validita proposta 11/07/2025
PROPONI LA TUA CANDIDATURA