Dataset IC type DIP : 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324 (doi:10.34820/FK2/78G3LC)

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Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Dataset IC type DIP : 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324

Identification Number:

doi:10.34820/FK2/78G3LC

Distributor:

Telkom University Dataverse

Date of Distribution:

2025-11-12

Version:

1

Bibliographic Citation:

Fushshilat, Iman; Achmad Rizal; Willy Anugrah Cahyadi, 2025, "Dataset IC type DIP : 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324", https://doi.org/10.34820/FK2/78G3LC, Telkom University Dataverse, V1

Study Description

Citation

Title:

Dataset IC type DIP : 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324

Identification Number:

doi:10.34820/FK2/78G3LC

Authoring Entity:

Fushshilat, Iman (Telkom University)

Achmad Rizal (Telkom University)

Willy Anugrah Cahyadi (Telkom University)

Other identifications and acknowledgements:

Iman Fushshilat

Other identifications and acknowledgements:

Achmad Rizal

Other identifications and acknowledgements:

Willy Anugrah Cahyadi

Producer:

Iman Fushshilat

Date of Production:

2025-05-05

Distributor:

Telkom University Dataverse

Access Authority:

Fushshilat, Iman

Depositor:

Fushshilat, Iman

Date of Deposit:

2025-11-12

Study Scope

Keywords:

Computer and Information Science, Engineering

Abstract:

Terdiri dari total 2016 gambar IC bertipe DIP yang terbagi dalam 10 Kelas: 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324

Notes:

Consisting of a total of 2016 DIP-type IC images divided into 10 classes: 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324. Please cite the relevant paper/article and also the dataset link before using this dataset.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

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.

Other Study-Related Materials

Label:

DATASET_IC.zip

Text:

Terdiri dari total 2016 gambar IC bertipe DIP yang terbagi dalam 10 Kelas: 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324. Dimohon mensitasi paper/artikel terkait sebelum menggunakan dataset ini Consists of a total of 2016 DIP-type IC images divided into 10 classes: 7400, 7402, 7404, 7408, 7432, 7490, 741, 555, 4051, 324. Please cite the relevant paper/article before using this dataset.

Notes:

application/zip