From the source
Baidu released PaddleOCR-VL-1.5, an upgraded 0.9B vision-language model for document parsing, achieving 94.5% accuracy on OmniDocBench v1.5 and adding seal recognition and text spotting capabilities.
PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing
Model update
From the source
PaddleOCR-VL-1.5 is an upgraded model achieving a new SOTA accuracy of 94.5% on OmniDocBench v1.5 . To rigorously evaluate robustness against real-world physical distortions—including scanning artifacts, skew, warping, screen photography, and illumination—we propose the Real5-OmniDocBench benchmark. Experimental results demonstrate that this enhanced model attains SOTA performance on the newly curated benchmark. Furthermore, we extend the model’s capabilities by incorporating seal recognition and text spotting tasks, while remaining a 0.9B ultra-compact VLM with high efficiency.
ernie.baidu.com