Image Captioning with Visual Attention

kolla teja

● Implemented a robust deep-learning model for image captioning. Utilized visual attention mechanisms to improve the model's captioning accuracy.
● Integrated CNN architectures to effectively extract features from input images. Employed sequential models for generating coherent and contextually relevant captions.
● Contributed to enhancing the overall user experience by providing detailed and accurate image descriptions.
Like this project
0

Posted Jan 26, 2024

Developed a robust image captioning model with visual attention, leveraging CNN architectures.

Neural Machine Translation
Neural Machine Translation
Digital Asset Marketplace
Digital Asset Marketplace