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Part 1: Document Description
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Citation |
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Title: |
Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm |
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Identification Number: |
doi:10.34820/FK2/KQX7BX |
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Distributor: |
Telkom University Dataverse |
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Date of Distribution: |
2023-10-05 |
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Version: |
1 |
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Bibliographic Citation: |
Mikogizka Satria Kartika, 2023, "Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm", https://doi.org/10.34820/FK2/KQX7BX, Telkom University Dataverse, V1 |
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Citation |
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Title: |
Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm |
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Identification Number: |
doi:10.34820/FK2/KQX7BX |
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Authoring Entity: |
Mikogizka Satria Kartika (Fakultas Informatika - Data Science) |
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Distributor: |
Telkom University Dataverse |
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Access Authority: |
Nama Lengkap Mikogizka Satria Kartikatanpa gelar |
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Depositor: |
Kartika, Mikogizka Satria |
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Date of Deposit: |
2023-06-22 |
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Study Scope |
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Keywords: |
Computer and Information Science |
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Abstract: |
This dataset was used to train and build a model that used to build the Drawing Apps For Kids web app. This dataset was compiled as two-dimensional graphics of the numbers 0 to 9 that were manually written using the Paint program. Each data class's 200 images have a varied resolution, making up a total of 2000 images in the collected datan umum penelitian |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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alldata.rar |
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All dataset |
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application/x-rar-compressed |
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Test.rar |
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Test dataset |
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application/x-rar-compressed |
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Train.rar |
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Train dataset |
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application/x-rar-compressed |
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Val.rar |
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Validation dataset |
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Notes: |
application/x-rar-compressed |