Image File Generating Device for Standardized Training Data
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Solution Overview
Problem
Generating an inference model that aligns with a user's specific intentions and concerns is complicated due to the lack of standardized and simplified methods for creating training data, especially when dealing with visual scenes and image-based data.
Innovation Solution
An image file generating device and method that convert image data into training data by attaching annotation-related information as metadata, allowing users to select and organize their concerns, such as event or timing information, to create effective training data for inference models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If inference models are generated using deep learning with training data, then various problems can be handled flexibly, but generating training data that aligns with user's intention becomes complicated
Solution Approach 1:
The patent segments the training data generation process into distinct components: image data acquisition, annotation information attachment, and metadata organization. By dividing the complex task of creating user-aligned training data into manageable segments with standardized formats, the system maintains flexibility in handling various problems while reducing the overall complexity of the generation process
Solution Approach 2:
The patent changes the parameters of training data generation by introducing standardized annotation formats and metadata structures. This allows the system to maintain adaptability across different problem domains while simplifying the generation process through consistent parameter organization and predefined data schemas
2Ease of manufacture
If standardized methods for creating training data are introduced, then the process becomes simpler, but the ability to capture diverse user concerns may be limited
Solution Approach 1:
The patent creates a universal training data structure that can serve multiple functions and capture diverse user concerns. The standardized annotation system is designed to be multi-functional, accommodating various types of information (event detection, timing, object identification) within a single framework, thereby simplifying the creation process while maintaining broad adaptability
Solution Approach 2:
The patent adds another dimension to training data by introducing metadata layers that organize annotation information. This dimensional addition allows the standardized structure to capture complex user concerns without increasing surface-level complexity, as the metadata hierarchy provides organized access to diverse information types
Data Source
AI summary
An image file generating device, comprising a processor having an image input section and a file generation section, the image input section inputting image data that has been converted based on images, wherein the file generating section attaches annotation related information to the image data as metadata for a relationship between the image data and user's concern, and makes into a file as training data, wherein the annotation related information includes information that has been selected from within at least one of (1) information as to whether what is being determined is an event or not, and (2) information as to whether what is being determined is timing or not.