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.

Bibliographic Details
Main Authors:	Dipro, Farhan Hasin, Simran, Sheikh Saif, Akhter, Mansura, Momo, Ramisa Fariha, Musharrat, Ramisa
Other Authors:	Hossain, Muhammad Iqbal
Format:	Thesis
Language:	English
Published:	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.
Online Access:	http://hdl.handle.net/10361/23617

Description
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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