Tesi etd-06262023-155019 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
TERRANOVA, GAETANO NICCOLO'
URN
etd-06262023-155019
Titolo
Car components detection and recognition for damage detection tasks via Deep Learning
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING
Relatori
relatore Cimino, Mario Giovanni Cosimo Antonio
relatore Galatolo, Federico Andrea
relatore Xhani, Orges
relatore Galatolo, Federico Andrea
relatore Xhani, Orges
Parole chiave
- detection
- car damage
- recognition
- instance segmentation
- Deep learning
- car components
- components
- vehicle
- segmentation
- car
- cars
- vehicles
Data inizio appello
21/07/2023
Consultabilità
Non consultabile
Data di rilascio
21/07/2093
Riassunto
The project aimed to find a and train a deep learning model for instance segmentation of car components and for car damages. Specifically, the first part consisted to train several state of the art models with a car components dataset. After a good model was found, it has been improved via genetic algorithms. Then, the model obtained on the first part has been used for the segmentation of car components of damaged cars and has been also retrained with a damaged cars dataset. In this way we can classify correctly damaged areas of a vehicle and recognize which components are involved.
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