What is the use of image caption generator?
Image caption Generator is a popular research area of Artificial Intelligence that deals with image understanding and a language description for that image. Generating well-formed sentences requires both syntactic and semantic understanding of the language.
What is CNN LSTM?
The CNN Long Short-Term Memory Network or CNN LSTM for short is an LSTM architecture specifically designed for sequence prediction problems with spatial inputs, like images or videos. About the development of the CNN LSTM model architecture for sequence prediction.
Is Lstm a type of RNN?
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections.
What are the three different architectures for Ann?
There exist five basic types of neuron connection architecture :
- Single-layer feed-forward network.
- Multilayer feed-forward network.
- Single node with its own feedback.
- Single-layer recurrent network.
- Multilayer recurrent network.
Is there any research done on image captioning?
There has been a lot of research done on this topic. Currently, the state-of-the-art model in image captioning is Microsoft’s CaptionBot. You can look at a demo of the system on their official website (link : www.captionbot.ai ).
What is automatic image captioning and how does it work?
The objective of automatic image captioning is to generate properly formed English sentences to describe the content of an image automatically, which is of great impact in various domains such as virtual assistants, image indexing, recommendation in editing applications, and the help of the disabled [ 2
What is image caption generator in deep learning?
Image Caption Generator or Photo Descriptions is one of the Applications of Deep Learning. In Which we have to pass the image to the model and the model does some processing and generating captions or descriptions as per its training. This prediction is sometimes not that much accurate and generates some meaningless sentences.
How many particular captions are generated from 30000 images?
In which it has 30,000 images with image id and a particular id has 5 captions generated. Here is the link to the dataset so that you can also download that dataset. Here are the particular captions for these images which is present in the dataset. 1 .Image Features Detection : For image Detecting, we are using a pre-trained model which is VGG16.