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Mikogizka Satria Kartika Dataverse (Fakultas Informatika, Telkom University)
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 data.
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Detection of Kids Handwriting For Numbers With Convolutional Neural Network Algorithm
Oct 5, 2023
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
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 resolu...
alldata.rar
RAR Archive - 44.3 MB - MD5: 521f5ecc25dcbfddce313aa9e59a091a
All dataset
Test.rar
RAR Archive - 4.5 MB - MD5: f9d774b3eacb5e32a7b1c781dc551cb9
Test dataset
Train.rar
RAR Archive - 31.4 MB - MD5: 06ec3913d678618cc0a9f75b74e423bc
Train dataset
Val.rar
RAR Archive - 8.9 MB - MD5: 227e771c9e817f3b591efd3903409506
Validation dataset
Drawing App for Kids Image Dataset
Oct 2, 2023
Kartika, Mikogizka Satria, 2023, "Drawing App for Kids Image Dataset", https://doi.org/10.34820/FK2/4SCLCO, Telkom University Dataverse, V1
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 resolu...
alldata.rar
RAR Archive - 44.3 MB - MD5: 521f5ecc25dcbfddce313aa9e59a091a
Test.rar
RAR Archive - 4.5 MB - MD5: f9d774b3eacb5e32a7b1c781dc551cb9
Train.rar
RAR Archive - 31.4 MB - MD5: 06ec3913d678618cc0a9f75b74e423bc
Val.rar
RAR Archive - 8.9 MB - MD5: 227e771c9e817f3b591efd3903409506
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