Bangla Natural Language Image to Text (BNLIT)
Published: 15 February 2020| Version 4 | DOI: 10.17632/ws3r82gnm8.4
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.
Files
Institutions
University of Liberal Arts Bangladesh
Categories
Artificial Intelligence, Computer Vision, Image Processing, Natural Language Processing, Machine Learning, Deep Neural Network