Information processing system, information processing method, and non-transitory storage medium
AssigneeNEC Corporation
InventorsShin Tominaga, Yusuke Imai, Kazutoshi Sagi, Yuzo Senda
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Abstract
To improve accuracy of a result acquired by analyzing, by using a machine learning model, an image in which a road is captured, an information processing system 100 is an information processing system for collecting a machine learning image, and includes a generation unit 122 and a storage processing unit 123. The generation unit 122 processes an image in which a road is captured, and generates capturing situation information indicating a situation related to capturing of the image. The storage processing unit 123 performs processing for storing an image, based on the capturing situation information.
Claims19
An information processing system for collecting a machine learning image, the information processing system comprising:
- a memory configured to store instructions;
- and
- a processor configured to execute the instructions to execute:
- processing an image in which a road is captured, and generating capturing situation information indicating a situation related to capturing of the image;
- deciding whether to store the image, based on the capturing situation information and a storage condition;
- and
- storing the image in learning information storage for machine learning when it is decided that the image is to be stored, wherein,
- the capturing situation information includes a capturing condition and road information about the road captured in the image,
- a first analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the capturing condition,
- a second analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the road information, and
- processing the image and generating capturing situation information includes
- acquiring a capturing condition by using the first analysis model that has been trained to process a captured image of a road and acquire the capturing condition, and
- acquiring road information by using the second analysis model that has been trained to process a captured image of a road and acquire the road information.
An information processing method for collecting a machine learning image by one or more computers, the information processing method comprising,
- by the one or more computers:
- processing an image in which a road is captured, and generating capturing situation information about a situation related to capturing of the image;
- deciding whether to store the image, based on the capturing situation information and a storage condition, and
- performing processing for storing the image in learning information storage for machine learning when it is decided that the image is to be stored, wherein
- the capturing situation information includes a capturing condition and road information about the road captured in the image,
- a first analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the capturing condition,
- a second analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the road information, and
- processing the image and generating capturing situation information includes
- acquiring a capturing condition by using the first analysis model that has been trained to process a captured image of a road and acquire the capturing condition, and
- acquiring road information by using the second analysis model that has been trained to process a captured image of a road and acquire the road information.
A non-transitory storage medium storing a program for causing one or more computers to collect a machine learning image, the program for causing the one or more computers to execute:
- processing an image in which a road is captured, and generating capturing situation information about a situation related to capturing of the image;
- deciding whether to store the image, based on the capturing situation information and a storage condition;
- and
- storing the image in learning information storage for storing the machine learning image when it is decided that the image is to be stored, wherein
- the capturing situation information includes a capturing condition and road information about the road captured in the image,
- a first analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the capturing condition,
- a second analysis model is trained, using the image stored in the learning information storage as an input, to process a captured image of a road and acquire the road information, and
- processing the image and generating capturing situation information includes
- acquiring a capturing condition by using the first analysis model that has been trained to process a captured image of a road and acquire the capturing condition, and
- acquiring road information by using the second analysis model that has been trained to process a captured image of a road and acquire the road information.
Dependencies are inferred from the claim text.