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Donut 240202
基於Yazawa/donut-base-sroie微調的文檔理解模型，適用於結構化文檔信息提取任務
Downloads 93
Release Time : 2/2/2024
Model Overview
該模型是基於Donut架構的文檔理解模型，專門針對結構化文檔信息提取任務進行了微調。
Model Features
文檔理解能力
能夠理解掃描文檔或圖像中的結構化信息
端到端處理
直接從圖像輸入到結構化輸出，無需OCR預處理
微調優化
在特定數據集上進行了優化，提高了信息提取的準確性
Model Capabilities
文檔圖像理解
結構化信息提取
端到端文檔處理
Use Cases
文檔處理
收據信息提取
從掃描的收據中提取商家、日期、金額等信息
發票處理
自動識別發票中的關鍵字段並結構化輸出
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