image features, uses Long Short-Term Memory (LSTM) for learning the text features, and combines the image’s result with an LSTM to generate a caption for the image.

This project demonstrates an image caption generator built using Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks with PyTorch. The model extracts …

In this project, we use CNN and LSTM to identify the caption of the image. As the deep learning techniques are growing, huge datasets and computer power are helpful to build models that …

Apr 5, 2025 · In this article we created a Image Caption Generator using Deep Learning on the Flickr8k dataset. We covered the entire process, from data preprocessing and feature …

The caption generator will be implemented using CNN Neural Networks in this Python-based project. We'll get the image features from Xception, which is a CNN model trained on the …

Here, a hybrid system which uses multilayer CNN (Convolutional Neural Network) for generating keywords which narrates given input images and Long Short Term Memory (LSTM) for …

Nov 23, 2019 · We can use the deep CNN architecture to extract features from the image which are then fed into the LSTM architecture to output the caption. This is called the CNN LSTM …

Apr 4, 2025 · Image caption generator is a process of recognizing the context of an image and annotating it with relevant captions using deep learning and computer vision. It includes …

Jun 1, 2021 · The Image Caption Generator with CNN & LSTM In Python was developed using Python Programming with CNN and LSTM. This Project aims to learn the concepts of a CNN …

In this Python project, we will be implementing the caption generator using CNN (Convolutional Neural Networks) and LSTM (Long short term memory). The image features will be extracted …