Bangla Natural Language Image to Text (BNLIT)
Published: 17 September 2019| Version 1 | DOI: 10.17632/ws3r82gnm8.1
Contributors:
Md. Asifuzzaman Jishan, , Description
We represented a new Bangla dataset with a Hybrid Recurrent Neural Network model which generated Bangla natural language description of images. This dataset achieved by a large number of images with classification and containing natural language process of images. We conducted experiments on our self-made Bangla Natural Language Image to Text (BNLIT) dataset. Our dataset contained 8,743 images. We made this dataset using Bangladesh perspective images. We used one annotation for each image. In our repository, we added two types of pre-processed data which is 224 × 224 and 500 × 375 respectively alongside annotations of full dataset. We also added CNN features file of whole dataset in our repository which is features.pkl.
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Institutions
University of Liberal Arts Bangladesh
Categories
Image Processing, Machine Learning, Language Processing, Deep Learning