Image recognition training data quality enhancement

A training dataset including a plurality of labeled images can be received, each labeled image of the plurality of labeled images including a label represented by a bounding box having a designated class name. Characteristics of each label can be obtained. Statistical information for each class name...

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Bibliographic Details
Main Authors Wakabayashi, Takehiro, Nagai, Shingo
Format Patent
LanguageEnglish
Published 22.10.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary:A training dataset including a plurality of labeled images can be received, each labeled image of the plurality of labeled images including a label represented by a bounding box having a designated class name. Characteristics of each label can be obtained. Statistical information for each class name of the plurality of labeled images can be determined based on the characteristics of each label associated with each respective class name. An outlier test can be performed based on the determined statistical information for a first designated class name to receive at least one outlier label having the first designated class name. The at least one outlier label can be output as a modification candidate for re-labeling.
Bibliography:Application Number: US202117539330