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All Journal JETT (Jurnal Elektro dan Telekomunikasi Terapan) JOIV : International Journal on Informatics Visualization JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Jurnal Ilmiah FIFO TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika IJAIT (International Journal of Applied Information Technology) Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Ilmiah Teknik Elektro eProceedings of Engineering Jurnal Ilmiah Agroust
Suryo Adhi Wibowo
Universitas Telkom
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Journal : JETT (Jurnal Elektro dan Telekomunikasi Terapan)

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A METHOD FOR PROBLEM SOLVING FOGGY CITYSCAPES IMBALANCE DATASET suryo adhi wibowo
Jurnal Elektro dan Telekomunikasi Terapan (e-Journal) Vol 9 No 1 (2022): JETT Juli 2022
Publisher : Direktorat Penelitian dan Pengabdian Masyarakat, Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jett.v9i1.4414

Abstract

Imbalance dataset is the major problem we all will face in the process of developing deep learning model. There were many approaches to solve this very problem such as heuristic data sampling and modifying loss function for model training. In order to find the solution, we chose Foggy Cityscapes dataset for the experiment since this dataset has imbalance object class distribution. We proposed a method to solve imbalance dataset namely instance level downsampling as an extension of traditional downsampling method. The algorithm of this method will selectively keep and drop certain image in the dataset by evaluating the majority and minority object class proportion inside a single image. After comparing the model evaluation using Mean Average Precision (mAP) metric, the model which was trained with balanced dataset has more balanced knowledge or less biased across the object classes of interest.
Co-Authors Agniya Tazkiya Aulia Agus Pratondo Akhmad Yusuf Nasirudin Aldo Tripolyta Alvaro Septra Dominggo Nauw Angga Rusdinar Anky Aditya P Annisa Istiqomah Atina Nur Azizah Bambang Hidayat Bambang Hidayat Bambang Setia Nugroho Casi Setianingsih Dany Eka Saputra Devita Rahma Apriliani Dini Himmah Al Aliyyah Al Aliyyah Djoko Heru Pamungkas Dwiki Kurniawan Dyah Avita Sari Fahmi Oscandar Fahmi Oscandar Faiz Nashrullah Farah Hana Kusumaputri Felix Corputty Fiky Yosef Suratman Fityanul Akhyar Gelar Budiman Hanaluthfina Nurhadiati Hashfi Fadhillah Iwan Iwut Tritoasmoro JANGKUNG RAHARJO Koredianto Usman Kusuma Nindia Rizki Ledya Novamizanti Liyana Faiza Lulud Annisa Ainun Mahmuddah Lyra Vega Ugi Muhammad Alief Hidayah Baso Muthia Saada Nadya Sindi Safitri Oriza Intani Prasaja Wibawa Utama Putri Utami Hafgianti Raditiana Patmasari Ricky Hilmi Sudrajad Rissa Rahmania Rissa Rahmania Rissa Rahmania Rissa Rahmania Rita Purnamasari Tembang Florian Falah Viky Premeita Mitayani Vivian Alfionita Sutama Wiwit Ratri Wulandari Yacobus Sunaryo Yurika Ambar Lita Yuti Malinda