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Read the original: PaddlePaddle· PaddlePaddle·Published AI score30/100

PP-OCRv6 Detection Module Outperforms VLMs on Text Localization Benchmarks

Original title🧵PP-OCRv6 Tech Deep Dive Ep.2: Text Detection Demystified: Precise Localization for Small, Curved, and Industrial Text — PP-OCRv6 Text D...

AISummary

PaddlePaddle says its PP-OCRv6_medium text detector reached an 86.2% detection Hmean in benchmarks, versus 46.8% for Gemini-3.1-Pro and 38.3% for GPT-5.5. The detector's design uses RepLKFPN with 7×7 kernels to cut FPN neck parameters from 172K to 118K, auxiliary deep supervision heads on P2–P4, and Focal Loss paired with Dice Loss, which adds +1.15% Hmean in ablation.

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Source: PaddlePaddle · x.com