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

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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Dipro, Farhan Hasin, Simran, Sheikh Saif, Akhter, Mansura, Momo, Ramisa Fariha, Musharrat, Ramisa
Άλλοι συγγραφείς: Hossain, Muhammad Iqbal
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
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.
Διαθέσιμο Online:http://hdl.handle.net/10361/23617

Διαδίκτυο

http://hdl.handle.net/10361/23617

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