Bangla Natural Language Image to Text (BNLIT)

Published: 15 Feb 2020 | Version 4 | DOI: 10.17632/ws3r82gnm8.4
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Description of this data

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.

Experiment data files

Latest version

  • Version 4

    2020-02-15

    Published: 2020-02-15

    DOI: 10.17632/ws3r82gnm8.4

    Cite this dataset

    Jishan, Md. Asifuzzaman; Mahmud, Khan Raqib; Azad, Abul Kalam Al (2020), “Bangla Natural Language Image to Text (BNLIT)”, Mendeley Data, v4 http://dx.doi.org/10.17632/ws3r82gnm8.4

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Institutions

University of Liberal Arts Bangladesh

Categories

Artificial Intelligence, Computer Vision, Image Processing, Natural Language Processing, Machine Learning, Deep Neural Network

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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