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Ocrmnist

Developed by vanshp123
An optical character recognition model based on Hugging Face Transformers, specifically designed for recognizing MNIST-style digit images
Downloads 16
Release Time : 11/6/2023

Model Overview

This model utilizes a pre-trained TrOCR architecture for efficient OCR functionality, suitable for extracting digit text from images

Model Features

Efficient Digit Recognition
Specially optimized for recognizing MNIST-style digit images
Pre-trained Model
Fine-tuned based on Microsoft's TrOCR base model, with excellent OCR capabilities
Easy to Use
Provides a simple API interface through Hugging Face Transformers

Model Capabilities

Digit recognition in images
MNIST-style image processing
Optical character recognition

Use Cases

Document Digitization
Handwritten Digit Recognition
Recognize handwritten digits in scanned documents or images
Accurately extract digit text content
Form Processing
Table Digit Extraction
Extract digit information from tables or forms
Automated data entry
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