Unverified90% confidenceFactTime unknown
Anthropic测试发现图像分块发送、叠加坐标网格、不同缩放算法选择（PIL LANCZOS、sips等）均未能有效提升点击精度
1
Sources
90%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe quality of a visual localization system's predictions is highly dependent on the number of usable geographic cues present in the image, and information-sparse images can put the model in a difficult position.68% similarUnverifiedExisting visual regression testing tools such as Percy and Chromatic address some problems through pixel-level screenshot difference detection, but tend to generate a large number of false positives.65% similar
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