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AtlasOCR: Building the First Open-Source Darija OCR Model with Vision Language Models

Domaine:

natural language processing

Type de record:

papermodeldataset
Créateur:
MomElaElmBou
Hôte:avatar
Darija, the Moroccan Arabic dialect, is rich in visual content yet lacks specialized Optical Character Recognition (OCR) tools. This paper introduces AtlasOCR, the first open-source Darija OCR model built by fine-tuning a 3B parameter Vision Language Model (VLM). We detail our comprehensive approach, from curating a unique Darija-specific dataset leveraging both synthetic generation with our OCRSmith library and carefully sourced real-world data, to implementing efficient fine-tuning strategies. We utilize QLoRA and Unsloth for parameter-efficient training of Qwen2.5-VL 3B and present comprehensive ablation studies optimizing key hyperparameters. Our evaluation on the newly curated AtlasOCRBench and the established KITAB-Bench demonstrates state-of-the-art performance, challenging larger models and highlighting AtlasOCR's robustness and generalization capabilities for both Darija and standard Arabic OCR tasks.

Visit

arxiv.org

Tasks

computer visionoptical character recognition

Languages

Arabic, Algerian SpokenArabic, Moroccan Spoken

Tags

Computer Vision and Pattern RecognitionArtificial Intelligence