Downloads · 30 days
0
morocco-bo-ocr-latin-v3-finetuned
AvoCahDoe/morocco-bo-ocr-latin-v3-finetuned
morocco-bo-ocr-latin-v3-finetuned is a machine learning model from AvoCahDoe. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for paddleocr. The card lists the license as apache-2.0.
Fine-tuned latinPP-OCRv3mobilerec on Moroccan Bulletin Officiel line crops (dataset). Better suited for French/Latin BO text.
Access
Public
Updated Jun 21, 2026
Repo size
209 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pdopt111 MB · 53%
At a glance
- Library
- paddleocr
- License
- apache-2.0
- Access
- Public
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026
- SHA
- 80ab028d
Base models
Model card
From the Hugging Face model README
Morocco BO OCR — Latin PP-OCRv3 Fine-tuned
Fine-tuned latin_PP-OCRv3_mobile_rec on Moroccan Bulletin Officiel line crops (dataset). Better suited for French/Latin BO text.
Training summary
| Metric | Value |
|---|---|
| Best val accuracy | 0.9605 |
| Peak eval val acc (log) | 0.9605 |
| Early stopped | True |
| Best eval index | 68 |
| Base model | latin_PP-OCRv3_mobile_rec |
| Profile | latin |
Usage (PaddleOCR)
from paddleocr import TextRecognition
rec = TextRecognition(
model_dir="path/to/inference",
model_name="latin_PP-OCRv3_mobile_rec",
)
result = rec.predict("line_crop.png")
print(result)
Repository layout
inference/ # Exported Paddle inference model
checkpoints/ # best_accuracy training checkpoint
metrics/ # training + eval JSON metrics
plots/ # training and evaluation plots
config.yml # PaddleOCR training config snapshot
Training artifacts
See metrics/ and plots/ for full learning curves, early-stop state, and test-set OCR metrics.
- Library
- paddleocr
- License
- apache-2.0
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026