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 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 …

Apr 20, 2021 · Perhaps the most common deep learning architecture for Image Captioning is sometimes called the “Inject” architecture and directly connects up the Image Feature Encoder …

Automatic image caption generation brings together recent advances in natural language processing and computer vision. This work implements a generative CNN-LSTM model that …

Apr 30, 2021 · Image Captioning is an interesting application because it combines techniques of Computer Vision and NLP, and requires working with both images and text. We walked …

There are many models proposed for image captioning like object detection model, visual attention- based image captioning and Image Captioning using Deep Learning. In Deep …

Image Caption Generator models is based on encoder-decoder architecture which use input vectors for generating valid and appropriate captions. This model bridges gap between natural …

The task involves generating a concise description of an image in natural language and is currently accomplished by techniques that use a combination of computer vision (CV), natural …

Compare the performance of your Image Caption Generator with baseline models or existing deep learning-based methods. Discuss any significant improvements achieved and their …

Apr 11, 2018 · In this tutorial, you’ll learn how a convolutional neural network (CNN) and Long Short Term Memory (LSTM) can be combined to create an image caption generator and …