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image-captioning-using-cnn-lstm's Introduction

Image Captioning Using ResNet50 and LSTM

Colab Link:

Video Preview Of The Project

Overview

  • A image captioning web app using Flask

  • The web app can convert the uploaded picture into a sentence

  • The sentence will describe the image

  • ResNet50 is used as image model

  • It mainly generated the feature vectors of the images

  • LSTM is the language model

  • It is used to predict the next word from the given image and word input

  • To accomplish the purpose I have created my own vocabulary

  • The vocabulary is stored as numpy array in the vocab.npy file

  • To train the model flickr8k has been used. Link: https://www.kaggle.com/srbhshinde/flickr8k-sau

Technologies

  • Keras

  • Flask

  • OpenCV

  • Colab

  • Html

  • CSS

  • Bootstrap

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