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trocr-omr-handwritten
anjali214/trocr-omr-handwritten
trocr-omr-handwritten is a machine learning model from anjali214. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Fine-tuned microsoft/trocr-base-handwritten for reading handwritten fields (course code, registration number, roll number, marks obtained) from OMR answer sheets.
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At a glance
- License
- mit
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026
- SHA
- 439b48c8
Base models
Model card
From the Hugging Face model README
trocr-omr-handwritten
Fine-tuned microsoft/trocr-base-handwritten for reading handwritten fields (course code, registration number, roll number, marks obtained) from OMR answer sheets.
Evaluation results (inference set, all categories included)
| Category | # Examples | CER | Exact Match Accuracy |
|---|---|---|---|
| course_code | 285 | 0.0012 | 0.9930 |
| marks_obtained | 148 | 0.0034 | 0.9932 |
| registration_no | 332 | 0.0055 | 0.9548 |
| roll_no | 287 | 0.0199 | 0.9303 |
| Overall | 1052 | 0.0083 | 0.9639 |
CER = Character Error Rate (lower is better). Exact Match Accuracy is the fraction of predictions that match the ground truth exactly.
Usage
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
processor = TrOCRProcessor.from_pretrained("anjali214/trocr-omr-handwritten")
model = VisionEncoderDecoderModel.from_pretrained("anjali214/trocr-omr-handwritten")
image = Image.open("your_field_crop.png").convert("RGB")
pixel_values = processor(image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(text)
Training data
Fine-tuned on a private OMR answer sheet dataset (course codes, registration numbers, roll numbers, and marks obtained), split 70/15/15 into train/validation/inference.
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Jul 16, 2026
- Updated
- Jul 16, 2026