Bounding Box Drawing Interface for Data Labeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data labeling platforms lack a reliable method to ensure high-quality training data, as labeling tasks are often performed by untrained operators without verification, leading to inconsistent and unreliable data.
Innovation Solution
A user interface and apparatus for interacting with users to draw bounding boxes around objects in photographs, allowing for high-quality training data generation through a controlled data labeling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data labeling is performed by untrained operators through existing platforms to reduce labor cost, then productivity is improved, but reliability of training data deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where experts review and verify labeling results from untrained operators. The system provides feedback loops including expert verification of operator work, quality assessment of bounding box accuracy, and corrective actions when labeling errors are detected. This maintains high productivity while ensuring reliability through systematic quality control.
Solution Approach 2:
The patent introduces experts as intermediaries between untrained operators and the final training data. These experts act as mediators who verify operator work, correct errors, and ensure quality standards are met. This intermediary layer allows the system to maintain both high productivity (through operator volume) and reliability (through expert verification).
2Device complexity
If data labeling is performed by untrained operators to reduce labor cost, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The patent implements preliminary actions by providing untrained operators with pre-trained models, guidelines, and tools before they perform labeling tasks. The system prepares operators with necessary knowledge and resources in advance, enabling them to produce accurate bounding boxes without requiring extensive training. This maintains low platform complexity while improving bounding box accuracy.
Solution Approach 2:
The patent enables untrained operators to perform labeling tasks independently using self-service tools and pre-configured systems. Operators can complete bounding box drawing tasks without extensive external support or complex platform interventions, maintaining simplicity while achieving acceptable accuracy through automated assistance and clear guidelines.
Data Source
AI summary
The present embodiment relates to a method and apparatus for performing a box drawing task for data labeling, which provide a user interface for an interaction with a user to perform a data labeling-associated task corresponding to drawing of a box on an object in a photo and, on the basis of same, allow high-quality training data to be secured.