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Detr Resnet 50 Finetuned OCR
An OCR model fine-tuned from facebook/detr-resnet-50 for object detection tasks
Downloads 15
Release Time : 4/12/2023
Model Overview
This model is based on the DETR (Detection Transformer) architecture with a ResNet-50 backbone, fine-tuned for OCR (Optical Character Recognition) tasks.
Model Features
Transformer-based Object Detection
Utilizes DETR architecture, combining the strengths of Transformer and CNN for end-to-end object detection
ResNet-50 Backbone
Uses ResNet-50 as the feature extractor, providing powerful image feature representation capabilities
OCR Task Optimization
Fine-tuned on specific datasets for optical character recognition tasks
Model Capabilities
Object Detection
Text Recognition
Image Analysis
Use Cases
Document Processing
Document OCR
Identify and extract text content from scanned documents or images
Automation Processing
Form Recognition
Automatically identify and extract field information from forms
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