A native caption generation application using the Show and Tell model

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

The code with an attempt on the disentanglement for the decoder part of a caption generator.

Implementation of Neural Image Caption Generation using Flicker dataset.It generates a descriptive sentence of the uploaded image

Image caption generation using Deep Learning-LSTM

A modular repository for developing Image Captioning Approaches

Image Caption Generator using different combinations of CNN (VGG/InceptionV3/Xception) & LSTM/GRU

Image Captioning Generator Keras

Generates subtitles from a video/audio file. Developed in Python and uses Google Cloud APIs.

A deep learning based image caption generator.

An Image Caption Generator which generates a caption describing the given image.

Generate caption on images using CNN Encoder- LSTM Decoder structure

To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

This repository contains code and results for the Course Project by Deep Learning Spring 2020 course offered at Information Technology University, Lahore, Pakistan. This repository is only for learning purposes and is not intended to be used for commercial purposes.

Imdex is a library that allows semantic searches over images sets

Deep CNN-LSTM for Generating Image Descriptions 😈

Automatic Image Caption Generation model that uses a CNN to condition a LSTM based language model

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.

Thesis Topic: Transfer Learning Based Food Item Recognition and Estimation of an Attributes.