Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/182242
Title: | Implementing a sketch prediction app |
Author: | Cantarino Sánchez, Jonatan Joaquín |
Director/Tutor: | Madadi, Meysam |
Keywords: | Reconeixement de formes (Informàtica) Xarxes neuronals (Informàtica) Programari Treballs de fi de grau Dibuixos Sistemes classificadors (Intel·ligència artificial) Desenvolupament de programari d'aplicació Pattern recognition systems Neural networks (Computer science) Computer software Drawing Learning classifier systems Bachelor's theses Development of application software |
Issue Date: | 10-Jun-2021 |
Abstract: | [en] The main topic of this work is object classification applied to the sketch domain. Starting from a huge set of object drawings, we have studied the problem of recognizing them in order to build a drawing app. This project, then consists in three main blocks, multiplatform app development that let users draw, deep neural network in order to recognize the drawings and an api that recieves the image and outputs the prediction. The true challenge of this project is then to ensure a relaible recognition alltogether. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Meysam Madadi |
URI: | https://hdl.handle.net/2445/182242 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
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codi.zip | Codi font | 19.01 MB | zip | View/Open |
tfg_jonatan_joaquin_cantarino_sanchez.pdf | Memòria | 837.04 kB | Adobe PDF | View/Open |
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