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Garo OCR - Text Recognition for Garo
OCR model for the Garo language achieving 93.13% character accuracy.
About Model
GaroOCR is an Optical Character Recognition model for Garo (grt_Latn), a Tibeto-Burman language spoken by over one million people in Meghalaya, Northeast India. Built on Florence-2-base-ft and fine-tuned on 80,000 deduplicated image-text pairs combining synthetic renders and curated samples across printed and handwritten font styles, the model achieves 93.13% character accuracy. Developed by MWire Labs as part of the Northeast India OCR initiative to bring document digitization capabilities to underrepresented indigenous languages of the region.
Garo OCR - Text Recognition for Garo
Metadata
Attribution 4.0 International (CC BY- 4.0)
MWirelabs
Transformers
Transformers
Restricted
Sector Agnostic
25/02/26 12:53:58
0
Activity Overview
0
0 
17 
0
Tags
- OCR
- florence-2
- Garo
- northeast-india
- Image-to-Text
License Control
Attribution 4.0 International (CC BY- 4.0)
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