Skip to content
#

flickr8k-dataset

Here are 47 public repositories matching this topic...

An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.

  • Updated Jan 5, 2024
  • JavaScript

Fabricating a Python application that generates a caption for a selected image. Involves the use of Deep Learning and NLP Frameworks in Tensorflow, Keras and NLTK modules for data processing and creation of deep learning models and their evaluation.

  • Updated Jan 30, 2021
  • Jupyter Notebook

In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.

  • Updated Sep 9, 2020
  • Jupyter Notebook

This repository contains code for fine-tuning Google's PaliGemma vision-language model on the Flickr8k dataset for image captioning tasks

  • Updated May 25, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the flickr8k-dataset topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the flickr8k-dataset topic, visit your repo's landing page and select "manage topics."

Learn more