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Detr Resnet50 Finetuned Lstabledetv1s9 Lsdocelementdetv1type3 Session8
This model is a ResNet50 variant based on the DETR (Detection Transformer) architecture, fine-tuned for document element detection tasks
Downloads 76
Release Time : 4/27/2024
Model Overview
This is an object detection model based on the DETR architecture, using ResNet50 as the backbone network, specifically optimized and fine-tuned for document element detection tasks
Model Features
Transformer-based object detection
Adopts the DETR architecture, combining the advantages of Transformer and CNN for end-to-end object detection
Document element detection optimization
Specifically optimized for various elements in documents (such as tables, text paragraphs, etc.)
ResNet50 backbone network
Uses the mature ResNet50 as the feature extractor, balancing performance and computational efficiency
Model Capabilities
Document element detection
Object detection
Document structure analysis
Use Cases
Document processing
Document element recognition
Automatically detects elements in documents such as tables, paragraphs, headings, etc.
Document structure analysis
Analyzes the layout and structural relationships of documents
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