View Proposal

---

Proposer

Radu-Casian Mihailescu

Title

Synthetic dataset generation

Goal

Investigate synthetic training based on a large amount of artificially generated data together with a relatively smaller amount of real data

Description

Synthetics data generation has the potential to become an excellent source of ground truth for many computer vision applications. However, the gap between real and synthetic data remains a problem that we are going to address in this task. The goal is to use procedurally-generated data models to synthesize datasets with minimal domain gap.

Resources

Background

ML/DL

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

1

Supervisor

Radu-Casian Mihailescu

Keywords

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science