Huawei technologies co., ltd. (20240135698). IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM simplified abstract
Contents
- 1 IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM - 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
IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM
Organization Name
Inventor(s)
IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135698 titled 'IMAGE CLASSIFICATION METHOD, MODEL TRAINING METHOD, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM
Simplified Explanation
The abstract of this patent application describes an image classification method using a neural network model to determine the category of a target image.
- Neural network model used for image classification
- Determination of image category based on classification result
Potential Applications
This technology can be applied in various fields such as:
- Image recognition
- Object detection
- Autonomous driving systems
Problems Solved
This technology helps in:
- Efficient image classification
- Automated categorization of images
- Enhancing accuracy of image recognition systems
Benefits
The benefits of this technology include:
- Improved image processing capabilities
- Faster and more accurate image classification
- Enhanced performance of neural network models
Potential Commercial Applications
This technology has potential commercial applications in:
- E-commerce for image search and categorization
- Security systems for object detection and classification
- Medical imaging for diagnosis and analysis
Possible Prior Art
One possible prior art for this technology could be the use of neural networks for image classification in various industries.
Unanswered Questions
How does this technology compare to existing image classification methods?
This article does not provide a direct comparison with existing image classification methods.
What are the limitations of this technology in real-world applications?
This article does not address the potential limitations of implementing this technology in real-world scenarios.
Original Abstract Submitted
embodiments of this application disclose an image classification method, a device and a storage medium, and belong to the field of image processing. in this method, a target image is processed by using a current neural network model, to obtain a current classification result. the current neural network model is a neural network model i corresponding to a largest probability in a selection result output by a neural network model a, and the selection result includes probabilities corresponding to p neural network models in m neural network models. a current integration result is determined based on the current classification result, and a category of the target image is determined based on the current integration result.
