AIbase
EN
Home
Detr Resnet50 Finetuned Lstabledetv1s9 Lsdocelementdetv1type3 Session7
D

Detr Resnet50 Finetuned Lstabledetv1s9 Lsdocelementdetv1type3 Session7

Developed by nsugianto
A fine-tuned model based on DETR-ResNet50 architecture for document element detection tasks
Object Detection
Transformers
#Document Element Detection#DETR Fine-tuned Model#Table Structure Recognition
Downloads 27
Release Time : 4/24/2024

Model Overview

This model is a ResNet50 variant based on the DETR (Detection Transformer) architecture, fine-tuned on specific datasets, focusing on document element detection tasks.

Model Features

Transformer-Based Detection Architecture
Utilizes the DETR architecture, combining the advantages of Transformer and CNN for end-to-end object detection
Document Element Detection Optimization
Fine-tuned and optimized for specific element types in documents
Efficient Training Configuration
Trained for 300 epochs using the Adam optimizer and linear learning rate scheduler

Model Capabilities

Document Element Detection
Object Localization
Document Structure Analysis

Use Cases

Document Processing
Document Element Recognition
Automatically detects elements such as tables, headings, and paragraphs in documents
Document Structure Analysis
Identifies the relative positional relationships between elements in a document
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase