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anuashok
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ocr-captcha-v2

Safetensors
PyTorch
vision-encoder-decoder
vision
ocr
trocr
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metadata
tags:
  - vision
  - ocr
  - trocr
  - pytorch
license: apache-2.0
datasets:
  - custom-captcha-dataset
metrics:
  - cer
model_name: anuashok/ocr-captcha-v2
base_model:
  - microsoft/trocr-base-printed

anuashok/ocr-captcha-v2

This model is a fine-tuned version of microsoft/trocr-base-printed on your custom dataset. captchas like

image/png

Training Summary

  • CER (Character Error Rate): 0.02025931928687196
  • Hyperparameters:
    • Learning Rate: 1.1081459294764632e-05
    • Batch Size: 4
    • Num Epochs: 3
    • Warmup Ratio: 0.07863134774153628
    • Weight Decay: 0.06248152825021373
    • Num Beams: 6
    • Length Penalty: 0.5095100725173662

Usage 

from transformers import VisionEncoderDecoderModel, TrOCRProcessor
import torch
from PIL import Image

# Load model and processor
processor = TrOCRProcessor.from_pretrained("anuashok/ocr-captcha-v2")
model = VisionEncoderDecoderModel.from_pretrained("anuashok/ocr-captcha-v2")

# Load image
image = Image.open('path_to_your_image.jpg').convert("RGB")

# Prepare image
pixel_values = processor(image, return_tensors="pt").pixel_values

# Generate text
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(generated_text)