Machine learning assisted annotation leveraging large data foundation models
This research paper explores the potential of machine learning-assisted annotation methods in streamlining the data annotation process, enhancing annotation quality, and unlocking the full potential of annotated datasets at a production level. The author investigates the use of various advanced mach...
Saved in:
Main Author: | Tey, Chin Yi |
---|---|
Other Authors: | Lin Guosheng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175707 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
BRAIN-SCIENCE INSPIRED COMPUTATIONAL MODELS FOR VISION TASKS
by: DUAN JUANYONG
Published: (2019) -
TOWARDS ADVERSARIAL ROBUSTNESS OF DEEP VISION ALGORITHMS
by: YAN HANSHU
Published: (2022) -
Disease detection in the eye with machine learning techniques
by: Vibin Mathiparambil Vinod
Published: (2024) -
Semantic-gap-oriented active learning for multilabel image annotation
by: Tang, J., et al.
Published: (2013) -
Towards advanced machine generalization via data interplay
by: Wang, Tan
Published: (2024)