A system and method for quality check of labelled images

Method (200) and systems (100) for identifying mislabeled images from a set of labelled images, for a deep neural network, are described. A sequence of plurality of input labelled images (102) is provided as an input to a segmentation network (116) for generating predictions for each image from said...

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Bibliographic Details
Main Authors KUMAR, ABHIJEET, MULLICK, KOUSTAV, KALE, AMIT ARVIND, HOSAN, EBENEZER KOIL PILLAI VINOJ JOHN
Format Patent
LanguageChinese
English
Published 16.11.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:Method (200) and systems (100) for identifying mislabeled images from a set of labelled images, for a deep neural network, are described. A sequence of plurality of input labelled images (102) is provided as an input to a segmentation network (116) for generating predictions for each image from said set of labelled images (102). An scoring module (118) is configured to compute two or more scoring functions for each image form the set of images (102) using the predictions generated by the segmentation network (116). A quality check module (120) is configured to configured to identify mislabeled images from the set of labelled images (102) by visualizing said computed two or more scoring functions in multi-dimensional graphical representation.
Bibliography:Application Number: TW202211150348