<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Dataset IC type DIP : 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/78G3LC</dcterms:identifier><dcterms:creator>Fushshilat, Iman</dcterms:creator><dcterms:creator>Achmad Rizal</dcterms:creator><dcterms:creator>Willy Anugrah Cahyadi</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2025-11-12</dcterms:issued><dcterms:modified>2025-11-12T07:37:56Z</dcterms:modified><dcterms:description>Terdiri dari total 2016 gambar IC bertipe DIP yang terbagi dalam 10 Kelas: 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Engineering</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:isReferencedBy>This dataset was used in the following papers:
1. An Optimized Deep Learning Pipeline for Used IC Classification Integrating DenseNet121 with Fine Tuning
2. An Efficient Pipeline for Automated Integrated Circuit Classification using Optimized Data Augmentation and MobileNetV2
3. Classification of Used Integrated Circuit Components Using Deep Learning Through Data Augmentation Pipeline Optimization

Please cite this dataset link and also cite these papers before using this dataset.</dcterms:isReferencedBy><dcterms:date>2025-05-05</dcterms:date><dcterms:contributor>Fushshilat, Iman</dcterms:contributor><dcterms:contributor>Iman Fushshilat</dcterms:contributor><dcterms:contributor>Achmad Rizal</dcterms:contributor><dcterms:contributor>Willy Anugrah Cahyadi</dcterms:contributor><dcterms:dateSubmitted>2025-11-12</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>