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.

ग्रंथसूची विवरण
मुख्य लेखकों: Dipro, Farhan Hasin, Simran, Sheikh Saif, Akhter, Mansura, Momo, Ramisa Fariha, Musharrat, Ramisa
अन्य लेखक: Hossain, Muhammad Iqbal
स्वरूप: थीसिस
भाषा:English
प्रकाशित: Brac University 2024
विषय:
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.
ऑनलाइन पहुंच:http://hdl.handle.net/10361/23617

इंटरनेट

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

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