Trepo - Selaus asiasanan mukaan "synthetic data"
Viitteet 1-5 / 5
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Estimating 6D pose of an object using RGB data
(2022)
DiplomityöEstimating object’s 6D pose is an important aspect of automating even complicated processes, especially in a field of robotics where information about object’s 6D pose can be used for manipulating objects with a robot. In ... -
Multi-Agent Topic Modeling : An Experimental Study Using Synthetic Data
(2026)
KandidaatintyöTopic modeling approaches such as LDA, BERTopic and K-Means frequently produce inconsistent and varying results when applied to short, domain specific texts, making it difficult to obtain a stable and interpretable topic ... -
Pose Estimation of Industrial Pallets using Machine Learning : Monocular Color Camera Methodology and Execution
(2024)
DiplomityöObject pose estimation is an area of research in the field of computer vision which is concerned with determining the position and orientation of objects from sensor data. The ability to accurately predict object pose is ... -
Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
(2024)
Pro gradu -tutkielmaIn this research, the gap in calibration data has been addressed through rigorous experimentation with synthetic data. The focus of the study is to predict camera calibration and distortion parameters from a single image. ... -
Quality Assessment of Synthetic Health Data
(2025)
KandidaatintyöSynthetic health data is artificially generated to replicate the characteristics of real-world health data without exposing sensitive patient information. Its popularity has surged in recent years due to its potential to ...
