Invention Publication
- Patent Title: FAST ANNOTATION OF SAMPLES FOR MACHINE LEARNING MODEL DEVELOPMENT
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Application No.: US18155024Application Date: 2023-01-16
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Publication No.: US20230195845A1Publication Date: 2023-06-22
- Inventor: Sunny Dasgupta , Sri Kaushik Pavani , Sabya Sachi , Himanshu Prafulla Shringarpure
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Main IPC: G06F18/21
- IPC: G06F18/21 ; G06N5/04 ; G06N3/08 ; G06N20/00 ; G06F16/58 ; G06F18/24 ; G06F18/23213

Abstract:
Computer systems and associated methods are disclosed to implement a model development environment (MDE) that allows a team of users to perform iterative model experiments to develop machine learning (ML) media models. In embodiments, the MDE implements a media data management interface that allows users to annotate and manage training data for models. In embodiments, the MDE implements a model experimentation interface that allows users to configure and run model experiments, which include a training run and a test run of a model. In embodiments, the MDE implements a model diagnosis interface that displays the model's performance metrics and allows users to visually inspect media samples that were used during the model experiment to determine corrective actions to improve model performance for later iterations of experiments. In embodiments, the MDE allows different types of users to collaborate on a series of model experiments to build an optimal media model.
Public/Granted literature
- US12182227B2 User interface for visual diagnosis of image misclassification by machine learning Public/Granted day:2024-12-31
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