Image Captioning Using Python
- Resource Type
- Conference
- Authors
- Singh, Aalind; Shah, Avinash; Kumar, Praveen; Chaudhary, Himanshu; Sharma, Abhishek; Chaudhary, Akash; Dixit, Abhinav
- Source
- 2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Power, Instrumentation, Energy and Control (PIECON), 2023 International Conference on. :1-5 Feb, 2023
- Subject
- Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Deep learning
Image recognition
Instruments
Neural networks
Data models
Grammar
Convolutional neural networks
LSTM
CNN
TensorFlow
Neural Networks
Deep Learning
Recurrent Neural Network
VGG-16
- Language
In the last few years, the problem of recognizing the objects and the context of the image has gained a rising interest. Image Captioning is a task of recognizing the context of the image and then generating a caption for it with proper grammar structure. Generating captions automatically will be helpful for visually impaired people to understand the picture better. To achieve this task a hybrid model is defined in this paper which uses CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory). The model will be trained using Flickr8K data sets with containing 8000 images and 5 captions for each image.