18543699. COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR ASCERTAINING A MISCLASSIFICATION VALUE DURING THE CLASSIFICATION OF IMAGES INTO AT LEAST ONE IMAGE CATEGORY BY A CLASSIFICATION ALGORITHM simplified abstract (Robert Bosch GmbH)
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR ASCERTAINING A MISCLASSIFICATION VALUE DURING THE CLASSIFICATION OF IMAGES INTO AT LEAST ONE IMAGE CATEGORY BY A CLASSIFICATION ALGORITHM
Organization Name
Inventor(s)
Jan Hendrik Metzen of Boeblingen (DE)
COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR ASCERTAINING A MISCLASSIFICATION VALUE DURING THE CLASSIFICATION OF IMAGES INTO AT LEAST ONE IMAGE CATEGORY BY A CLASSIFICATION ALGORITHM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18543699 titled 'COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR ASCERTAINING A MISCLASSIFICATION VALUE DURING THE CLASSIFICATION OF IMAGES INTO AT LEAST ONE IMAGE CATEGORY BY A CLASSIFICATION ALGORITHM
The abstract describes a method for determining misclassification values during image classification using a classification algorithm.
- Providing an input text file with a keyword to assign it to a specific image category.
- Generating synthetic images based on the input text file using a text-into-image generation algorithm.
- Classifying the synthetic images into different image categories using the classification algorithm.
- Ascertaining the misclassification value during the classification process.
Potential Applications: - Image classification systems - Artificial intelligence - Text-to-image generation technology
Problems Solved: - Improving accuracy in image classification - Enhancing the efficiency of classification algorithms
Benefits: - More accurate image categorization - Streamlined classification process - Enhanced performance of AI systems
Commercial Applications: - E-commerce product categorization - Content moderation in social media platforms - Medical image analysis
Questions about the technology: 1. How does this method improve the accuracy of image classification algorithms? 2. What are the potential limitations of using synthetic images for classification purposes?
Frequently Updated Research: - Stay updated on advancements in image classification algorithms - Monitor developments in text-to-image generation technology.
Original Abstract Submitted
A computer-implemented method for ascertaining a misclassification value during classification of images into at least one image category by a classification algorithm. The method includes: providing an input text file, which includes a keyword using which the input text file is assigned to a predetermined image category of a plurality of image categories, the input text file including indications relating to at least one image feature for the predetermined image category and at least one value indication for the at least one image feature; generating at least one image file using a text-into-image generation algorithm, the image file including a synthetic image that is assigned to the predetermined image category and has the at least one image feature and the at least one value indication; classifying the generated, synthetic image using the classification algorithm into at least one of the plurality of image categories; and ascertaining the misclassification value.
