Welcome to Batik Generative AI

Get to know more about batik and all patterns.

Welcome to Batik Generative AI

Do research about batik products.

Welcome to Batik Generative AI

Collaborate with everyone to explore more about batiks.

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Our Batik Application Products

One of the masterpieces of our research product

Batik RVGANsee product details

Combining image retrieval and GAN (Generative Adversarial Network) for a better batik patterns generation (Generative Adversarial Networks).

Batik Text To Imagesee product details

Generating Batik image through the power of your own description

Batik GAN.see product details

Automatically generate batik patterns using AI and Deep Learning called GAN (Generative Adversarial Networks).

Batik GAN CLsee product details

Automatically generate batik patterns using AI and Deep Learning called GAN (Generative Adversarial Networks).

Batik-Clasification

Batik Classification.see product details

Do image batik classification using AI machine learning model.

Batik 300 Dataset.see product details

Explore the rich artistry of raditional batik patterns in this diverse and captivating dataset for creative enthusiasts.

Batik Nitik 960 Dataset.see product details

Dive into the mesmerizing world of Batik Nitik with a curated collection of authentic and intricate patterns.

Batik Retrieval.see product details

Find a bunch of similar batiks using the batik image query.

Batik Nitik Sarimbit 120 Dataset.see product details

Dive into the mesmerizing world of Batik Nitik with a curated collection of authentic and intricate patterns.

Our Publication

List of publications

Total of publications: 28

Batik Image Representation using Multi Texton Co-occurrence Histogram
Optimization of BatikGAN with Gradient Loss for Enhanced Batik Motif Generation
Dataset of Batik Nitik Sarimbit 120
Batik Image Retrieval using Convolutional Autoencoder
A Convolutional Neural Network Model for Batik Image Retrieval
Batik Classification using Microstructure Co-occurrence Histogram
A Systematic Literature Review on Batik Image Retrieval
Batik Nitik 960 Dataset for Classification, Retrieval, and Generator
Batik Images Retrieval Using Pre-trained model and K-Nearest Neighbor
Generation of Batik Patterns Using Generative Adversarial Network with Content Loss Weighting
Deep Convolutional Generative Adversarial Network Application in Batik Pattern Generator
Texture feature extraction using co-occurrence matrices of sub-band image for batik image classification
Ensemble convolutional neural network for robust batik classification
Image Retrieval using Modified Multi Texton and Rotation Invariant Local Binary Pattern
Image Retrieval using Multi Texton Co-occurrence Descriptor and Discrete Wavelet Transform
A Robust Batik Image Classification using Multi Texton Co-Occurrence Descriptor and Support Vector Machine
Classification of batik patterns using K-nearest neighbor and support vector machine
CBIR of Batik Images Using Micro Structure Descriptor on Android
Re-Ranking Image Retrieval on Multi Texton Co-Occurrence Descriptor Using K-Nearest Neighbor
HII: Histogram inverted index for fast images retrieval
Comparison of methods for Batik classification using multi texton histogram
Efficient texture image retrieval of improved completed robust local binary pattern
Image retrieval based on multi structure co-occurrence descriptor
Classification of Texture Using Multi Texton Histogram and Probabilistic Neural Network
Image Retrieval Using Multi Texton Co-Occurrence Descriptor.
Batik image retrieval based on color difference histogram and gray level co-occurrence matrix
Texture feature extraction using co-occurrence matrices of sub-band image for batik image classification
Batik image retrieval based on enhanced micro-structure descriptor

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