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Detr Resnet50 Finetuned Lstabledetv1s9 Lsdocelementdetv1type3 Session7
基于DETR-ResNet50架构的微调模型，用于文档元素检测任务
Downloads 27
Release Time : 4/24/2024
Model Overview
该模型是基于DETR（Detection Transformer）架构的ResNet50变体，经过特定数据集微调，专注于文档元素的检测任务。
Model Features
基于Transformer的检测架构
采用DETR架构，结合了Transformer和CNN的优势，实现端到端的对象检测
文档元素检测优化
针对文档中的特定元素类型进行了微调优化
高效训练配置
使用Adam优化器和线性学习率调度器进行300轮训练
Model Capabilities
文档元素检测
对象定位
文档结构分析
Use Cases
文档处理
文档元素识别
自动检测文档中的表格、标题、段落等元素
文档结构分析
识别文档中各元素的相对位置关系
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