Errors in the analyzed results are mainly influenced by the following factors:
- Technical constraints: Google Vision API's recognition success rate for blurry/low-light images drops by about 40%, making it especially difficult to judge people's micro-expressions.
- Metadata Integrity: Photos compressed and transcoded by social media platforms such as WeChat will lose more than 50% EXIF information.
- cultural difference: AI has relatively low accuracy in recognizing non-Western scenes (e.g., traditional Asian clothing may be misidentified as theater costumes)
Hands-on advice for improving accuracy:
- Priority is given to uploading uncompressed originals (file size of 2MB or more is preferred)
- Ensure that the subject occupies an area of 30% or more in the frame, avoiding telephoto shots
- Close-up shots of key items (e.g., watch dial front display)
- Cross-validation by shooting the same scene from different angles
It is worth noting that the tool is clearly labeled that AI speculative conclusions are for reference only, and important decisions should be made in conjunction with human judgment.
This answer comes from the articleThey See Your Photos: Analyzing Photo Privacy Information Based on Google VisionThe
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