Intelligent image content management
Riveter integrates advanced computer vision technology to provide automated identification and labeling of image data in forms. The system supports the following core functions:
- Predefined tag library: contains thousands of categorized tags for common business scenarios
- Custom labeling: allows users to define a domain-specific labeling system
- Multi-level recognition: supports object detection, scene understanding and sentiment analysis
- Precision Adjustment: Provides multi-speed options from quick identification to fine analysis
Technical realization details
The underlying layer uses a hybrid architecture of Convolutional Neural Networks (CNN) and Transformer to achieve Top-5 accuracy of 92% in benchmarks such as ImageNet. The system is especially optimized to recognize common diagrams, product images and people photos in business documents.
Applied value embodiment
In the investor presentation material analysis scenario, the image recognition function automatically extracts all visual data charts and generates structured descriptions, reducing the traditional fully manual annotation time by 98%.
This answer comes from the articleRiveter: Quickly annotate, enhance and analyze data using cue words in tablesThe
