18276665. TRAINING DATA SYNTHESIZER FOR CONTRAST ENHANCING MACHINE LEARNING SYSTEMS simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
TRAINING DATA SYNTHESIZER FOR CONTRAST ENHANCING MACHINE LEARNING SYSTEMS
Organization Name
Inventor(s)
LIRAN Goshen of PARDES-HANNA (IL)
TRAINING DATA SYNTHESIZER FOR CONTRAST ENHANCING MACHINE LEARNING SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18276665 titled 'TRAINING DATA SYNTHESIZER FOR CONTRAST ENHANCING MACHINE LEARNING SYSTEMS
The abstract describes a system and method for synthesizing training data for machine learning using high and low image quality imagery.
- The system includes a data synthesizer that transfers image information between high IQ and low IQ imagery to create synthesized data for training machine learning models.
- This synthesized data can enhance the training of machine learning models for IQ improvement.
Potential Applications:
- This technology can be used in various industries such as healthcare, autonomous vehicles, and security systems for improving machine learning models.
- It can also be applied in image processing, computer vision, and artificial intelligence research.
Problems Solved:
- Addresses the challenge of training machine learning models with diverse image quality data.
- Provides a solution for enhancing the IQ of machine learning models through synthesized training data.
Benefits:
- Improved accuracy and performance of machine learning models.
- Enhanced capabilities in image recognition and analysis tasks.
- Cost-effective solution for training machine learning models with varied image quality data.
Commercial Applications:
- Title: "Enhanced Machine Learning Training Data Synthesis System"
- This technology can be utilized by companies developing AI-powered products and services.
- It can also benefit research institutions working on advanced image processing and computer vision projects.
Prior Art:
- Researchers and developers can explore existing patents and publications related to image quality enhancement in machine learning training.
Frequently Updated Research:
- Stay updated on advancements in image synthesis techniques for machine learning training data.
Questions about the Technology: 1. How does this technology improve the performance of machine learning models trained on diverse image quality data? 2. What are the potential limitations or challenges of using synthesized training data for machine learning?
Original Abstract Submitted
A system (DSS) and related method for synthesizing training data or machine learning, based on a set (TD) including two types of training imagery, high image quality, IQ, imagery and low IQ imagery. The system comprises a data synthesizer (DSY), configured to register the at least two types of imagery and to transfer i) image information from high IQ imagery to the registered low IQ imagery to obtain synthesized high IQ imagery, or ii) image information from low IQ imagery to the registered high IQ imagery to obtain synthesized low IQ imagery. The synthesized data may be used for improved training of machine learning models for IQ enhancement.
