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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA
Putrama Alkhairi
STIKOM Tunas Bangsa, Pematangsiantar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Deep Learning to Extract Animal Images With the U-Net Model on the Use of Pet Images Agus Perdana Windarto; Indra Riyana Rahadjeng; Muhammad Noor Hasan Siregar; Putrama Alkhairi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7199

Abstract

This article explores the innovative application of deep learning techniques, specifically the U-Net model, in the realm of computer vision, focusing on the extraction of animal images from diverse pet datasets. As the digital landscape becomes increasingly saturated with pet imagery, the need for precise and efficient image extraction methods becomes paramount. The study delves into the challenges posed by varying animal poses and backgrounds, presenting a comprehensive analysis of the U-Net model's adaptability in handling these complexities. Through rigorous experimentation, this research refines existing methodologies, enhancing the accuracy of animal image extraction. The findings not only contribute to advancing the field of computer vision but also hold significant implications for wildlife monitoring, veterinary diagnostics, and the broader domain of image processing.
Co-Authors Agus Perdana Windarto Indra Riyana Rahadjeng Muhammad Noor Hasan Siregar