Polarisation State Classification Using Neural Networks
ImageClassification
Annotated a dataset of optical sensor measurements representing different electromagnetic polarisation states for use in supervised learning models. Assigned class labels based on known signal characteristics and underlying physical properties.
Ensured consistency across labelled samples by applying standardised criteria for distinguishing between similar polarisation states, particularly in cases with noise or partial signal degradation.
Annotated a dataset of optical sensor measurements representing different electromagnetic polarisation states for use in supervised learning models. Assigned class labels based on known signal characteristics and underlying physical properties. Ensured consistency across labelled samples by applying standardised criteria for distinguishing between similar polarisation states, particularly in cases with noise or partial signal degradation.
2024 - Present