18175762. DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM simplified abstract (KABUSHIKI KAISHA TOSHIBA)
Contents
- 1 DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Kentaro Takagi of Yokohama Kanagawa (JP)
Yaling Tao of Kawasaki Kanagawa (JP)
DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18175762 titled 'DATA LABELING WORK SUPPORT APPARATUS, DATA LABELING WORK SUPPORT METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application abstract describes a data labeling work support apparatus that includes a processor to assign labels to data based on similarity and calculate the degree of matching between labels.
- Processor with hardware acquires and labels data.
- Extracts data features and groups data based on similarity.
- Assigns new labels to grouped data and calculates matching degree.
- Outputs information on low matching label combinations.
Potential Applications
The technology can be applied in various fields such as image recognition, natural language processing, and data classification.
Problems Solved
This technology helps in automating the data labeling process, improving efficiency, and reducing human error in data classification tasks.
Benefits
The benefits of this technology include faster data labeling, improved accuracy in data classification, and increased productivity in data processing tasks.
Potential Commercial Applications
The technology can be used in industries such as healthcare for medical image analysis, e-commerce for product categorization, and finance for fraud detection.
Possible Prior Art
One possible prior art could be existing data labeling tools that use machine learning algorithms for data classification tasks.
What are the specific features of the processor used in the apparatus described in the patent application?
The specific features of the processor used in the apparatus include the ability to acquire, label, extract features, group data, assign labels, calculate matching degree, and output information regarding label combinations with low matching.
How does the apparatus determine the similarity or distance of features in the data for grouping purposes?
The apparatus determines the similarity or distance of features in the data by analyzing the extracted features and comparing them to group data based on their similarity or distance.
Original Abstract Submitted
According to one embodiment, a data labeling work support apparatus includes a processor including hardware. The processor acquires a first label assigned to data. The processor acquires the data. The processor extracts a feature of the data. The processor groups the data based on a similarity or a distance of the feature. The processor assigns a second label to the grouped data. The processor calculates a degree of matching between the first label and the second label. The processor outputs information regarding a combination of the first label and the second label having a low degree of matching.
