This AI-based Image Caption Generator automatically analyzes and interprets images to generate accurate and meaningful textual descriptions. Using deep learning models Transformers, it understands visual content and produces human-like captions, enhancing accessibility, image organization, and content understanding across various applications.

Deep CNN-LSTM for Generating Image Descriptions :smiling_imp:

A deep learning model that generates descriptions of an image.

Automatically generates captions for an image using Image processing and NLP. Model was trained on Flickr30K dataset.

No description available

This project implements an Image Caption Generator, a deep learning model that automatically generates descriptive captions for images. It combines Convolutional Neural Networks (CNNs) for image feature extraction and Recurrent Neural Networks (LSTMs) for language modeling, trained on image–caption datasets.

Caption generator for a given Image using Deep Learning

This project that involves building a caption generator for images using a deep learning approach. The goal of the project is to generate descriptive captions automatically for a given image

With current scenario in 2020, where quarantine is the buzz word and work-from-home has become a norm, there is an increasing usage of internet. At the touch of a screen we can order groceries, medicines etc. However, not everyone is fortunate enough to use it as seamlessly. For example, the people who suffer from impaired vision might find it cumbersome and frustrating to distinguish between blueberries and grapes. This project aims to create a neural network model that can help such demographics. The complexity and novelty in creating such a model is that it should not simply detect the object but also give useful and accurate information about that object. Hence, this project proposes an ‘Image caption generator (using deep learning)’ that processes the image and describes it in a short sentence using a natural language such as English. The model is an amalgamation of two types of neural networks, CNN (Convolutional Neural Network) for image processing and LSTM (Long short-term memory), a type of Recurrent Neural Network, for text processing. A subset of 14,000 images, along with their sample captions, has been selected from Flickr_30K dataset. The generated caption is evaluated using human judgement as well as BLEU-1 score. Furthermore, the model has been trained and tested with several variations such as incorporation of pre-trained GloVe embeddings, different dropout and regularizer rates, and two types of feature extraction models for images: Xception and VG16. Most relevant and fitting captions were obtained using features from Xception model with an encoder-decoder based architecture. Highest BLEU-1 scores (above 0.5 on a scale of 0 to 1) were obtained with VG16 model using GloVe embeddings.

No description available

Image to Caption Generator Using python and Deep Learning

This repository contains code for an Image Caption Generator, leveraging deep learning techniques to automatically generate descriptive captions for images. The model is trained on a dataset of images with corresponding captions, enabling it to understand and articulate the content of various visual scenes.

Deep learning image caption generator, written for UIowa Hackathon 2021

A deep learning based image caption generator.

No description available

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 the labeling of an image with English keywords with the help of datasets provided during model training.

Deep learning based Image caption generator

No description available

Generate caption for images

Deep Learning project (Image Caption Generator in Arabic & English with audio result)

Deep Learning based project titled - Image Captioning . The Image Captioning Generator Model uses the combination of CNNs and RNNs(specifically LSTMs).

Implementation of deep learning research paper "Show and Tell: A Neural Image Caption Generator"

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. we will build an image caption generator to load a random image and give some captions describing the image. We will use Convolutional Neural Network (CNN) for image feature extraction and Long Short-Term Memory Network (LSTM) for Natural Language Processing (NLP).

The Image Caption Generator is a fascinating deep learning application that utilizes the power of transformers to generate textual captions for images. It combines Computer Vision and Natural Language Processing (NLP) techniques to understand the contents of an image and generate relevant and coherent captions.

This project uses deep learning (CNN and RNN with BEAM Search) to generate captions for images. By managing large datasets like MSCOCO and Flickr30k, we apply advanced AI techniques to create an efficient image caption generator. This complex project leverages Python for Big Data processing.

This project aims to develop an Image Caption Generator using deep learning techniques. The model utilizes a pre-trained EfficientNet for feature extraction and a Transformer-based encoder-decoder architecture for generating captions. The system takes an image as input and generates a natural language description of its content.

My undergraduate capstone project. A deep learning based image caption generator.

The Project is a Image Caption Generator using Deep Learning

No description available

caption corresponding to any image will be generated using NLP,CNN and LSTM