Automatic creation of difficult annotated data leveraging cues

A system and method for generating hard training data from easy training data. Training data including visual data with synthetic semantic implants ("VSSI") having at least one cue is received. An annotator identifies at least one cue in the VSSI and annotates the VSSI to indicate the cue...

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Bibliographic Details
Main Authors Barzelay, Udi, Yaroker, Yevgeny, Rotman, Daniel Nechemia, Shtok, Joseph
Format Patent
LanguageEnglish
Published 23.07.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A system and method for generating hard training data from easy training data. Training data including visual data with synthetic semantic implants ("VSSI") having at least one cue is received. An annotator identifies at least one cue in the VSSI and annotates the VSSI to indicate the cue to create a modified training data set. A data scrambler removes at least one cue from the VSSI to create the tagged training data, which can then be used to train a classifier to identify transitions between segments when the cues are not present.
Bibliography:Application Number: US202017116321