Riveter offers a comprehensive image data processing solution with core features including:
- Intelligent Image Recognition: Automatically analyze image content and generate descriptive labels, supporting two modes: preset label libraries and custom labels.
- Accuracy is configurable: Users can independently adjust the recognition accuracy level (e.g., basic recognition or detailed analysis) to adapt to different scenarios.
- Image Metadata Enhancement: Linkage with tabular data processing allows structured descriptive information to be added to images, facilitating the creation of cross-modal data analysis.
For the technical implementation, Riveter has been able to achieve this through theMultimodal AI modelsProcesses both visual and textual information. Make sure that the data file contains image paths or directly embedded image data, the system will provide a before and after view of the processing results, which significantly improves the efficiency of image data management.
This answer comes from the articleRiveter: Quickly annotate, enhance and analyze data using cue words in tablesThe
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