Invention Grant
- Patent Title: Resolving training dataset category ambiguity
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Application No.: US17228217Application Date: 2021-04-12
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Publication No.: US12033378B2Publication Date: 2024-07-09
- Inventor: Or Shabtay , Eran Shlomo , Avi Yashar
- Applicant: DATALOOP LTD.
- Applicant Address: IL Herzliya
- Assignee: DATALOOP LTD.
- Current Assignee: DATALOOP LTD.
- Current Assignee Address: IL Herzliya
- Agency: The Roy Gross Law Firm, LLC
- Agent Roy Gross
- Main IPC: G06V10/94
- IPC: G06V10/94 ; G06F18/21 ; G06F18/213 ; G06F18/214 ; G06F18/2431 ; G06N20/00 ; G06V10/24 ; G06V10/30 ; G06V10/32

Abstract:
A method comprising: receiving a dataset comprising (i) a plurality of images, and (ii) a set of classes associated with one or more objects in the images; selecting at least one image from the dataset; applying one or more transformations to the selected image, to create a set of transformed images, wherein each of the transformed images includes a representation of at least one of the objects; annotating at least some of the objects in the selected image and at least some of the transformed images, wherein the annotating comprises assigning each of the one or more objects to one of the classes; and calculating an ambiguity score with respect to at least one pair of classes in the set of classes, based, at least in part, on a number of times the annotating assigned a one of the objects to both of the classes in the pair.
Public/Granted literature
- US20210319264A1 RESOLVING TRAINING DATASET CATEGORY AMBIGUITY Public/Granted day:2021-10-14
Information query