SEMI-AUTOMATIC LABELLING OF DATASETS

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United States of America

APP PUB NO 20250118057A1
SERIAL NO

18658748

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Abstract

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An unlabelled or partially labelled target dataset is modelled with a machine learning model for classification (or regression). The target dataset is processed by the machine learning model; a subgroup of the target dataset is prepared for presentation to a user for labelling or label verification; label verification or user re-labelling or user labelling of the subgroup is received; and the updated target dataset is re-processed by the machine learning model. User labelling or label verification combined with modelling an unclassified or partially classified target dataset with a machine learning model aims to provide efficient labelling of an unlabelled component of the target dataset.

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Patent Owner(s)

Patent OwnerAddress
TRACTABLE LTDLASER HOUSE 132-140 GOSWELL ROAD LONDON EC1V 7DY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
CHATFIELD, Ken Surrey, GB 18 115
DAYLAC, Alexandre London, GB 1 0
HOGAN, Robert London, GB 20 566
MCALEESE-PARK, Nathaniel John London, GB 4 104
RANCA, Razvan London, GB 17 115

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