D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalles Bibliográficos
Main Authors:	Dipro, Farhan Hasin, Simran, Sheikh Saif, Akhter, Mansura, Momo, Ramisa Fariha, Musharrat, Ramisa
Outros autores:	Hossain, Muhammad Iqbal
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2024
Subjects:	Non-Fungible Tokens (NFT) Digital art Convolutional Neural Net- works (CNN) You Only Look Once (YOLO) Adobe Photoshop CC Image forgery Image classification Object detection Neural networks (Computer science) Image processing > Digital techniques.
Acceso en liña:	http://hdl.handle.net/10361/23617

Descripción
Summary:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

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