Open-source table detection model of detr-5000-400-finetuned-table-detector

Detr 5000 400 Finetuned Table Detector

Developed by Darna

This model is based on the DeTr architecture, pre-trained on 5,000 table detection images, and then fine-tuned for specific table detection tasks

Object Detection

Transformers

Open Source License:Apache-2.0 #Table Detection #Document Analysis #Object Detection

Downloads 26

Release Time : 6/15/2023

Model Overview

Used to detect table regions in documents, suitable for document processing and analysis scenarios

Model Features

Transformer-based Detection Architecture

Adopts the DeTr architecture, combining the advantages of Transformer and CNN for object detection

Optimized for Table Detection

Specially fine-tuned for detecting table regions in documents

Medium-scale Training Data

Pre-trained on 5,000 table detection images

Model Capabilities

Document Image Analysis

Table Region Detection

Object Detection

Use Cases

Document Processing

PDF Document Table Extraction

Automatically identify table regions from PDF documents

Can accurately mark table locations in documents

Document Digitization

Automatically detect tables in document digitization workflows

Improves document processing efficiency

Property	Details
Transformers	4.29.2
Pytorch	2.0.0+cpu
Datasets	2.1.0
Tokenizers	0.13.3

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Detr 5000 400 Finetuned Table Detector

Model Overview

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