A Systematic Approach to Enhancing the Effectiveness of Image Processing
Improving the effectiveness of image recognition and analysis requires a combination of the following factors:
- Preprocessing Optimization: Ensure the image is clear before uploading (300dpi+ is recommended), and use professional OCR tools to pre-process the fuzzy text images first.
- Structured questioning: Adopting the three-step questioning method of "description → detail → inference", first obtaining an overall description and then pursuing specific elements.
- multimodal combination: Upload relevant textual descriptions as a supplement to help the AI to establish contextualization
- format adaptation: Complex charts are recommended to be converted to PNG format, preserving the original resolution.
Enhancement tips for specific scenarios: 1) medical/engineering drawings: attach a glossary of specialized terms; 2) multi-page documents: upload in pages with page numbers; 3) handwritten content: provide a sample of the writer's handwriting. Note: The current version has limited table recognition, so it is recommended that important data be checked manually. Continuous optimization of the VISION model will further enhance the analysis capability.
This answer comes from the articleKunAvatar (kun-lab): a native lightweight AI dialog client based on OllamaThe
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