Image Knowledge Graphs

Project Title

Image Knowledge Graphs

Project Area of Specialization Artificial IntelligenceProject Summary

Knowledge graphs are large networks of entities, their semantic types, properties and relationship between entities. Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it.

Project Objectives

We can use knowledge graph in image processing for:
• Image Classification
• Image Segmentation
• Object Detection

Project Implementation Method

The project will be implemented in the Python Language.

Benefits of the Project

• By using the knowledge graph in an image processing we can find out the relationship between objects and concepts to produce the desired output.

• Each node in the knowledge graph contains information about class or object.

• This approach uses features from the image to efficiently annotate the graph, select a relevant subset of the input graph and predict outputs on nodes representing visual concepts. These output states are then used to classify or segment the objects in the image

Technical Details of Final Deliverable

• Efficient
• Accurate
• interpretable

Final Deliverable of the Project Software SystemType of Industry IT Technologies OthersSustainable Development Goals Quality EducationRequired Resources