# Receipt Recognition

Model fine-tuned based on naver-clova-ix/donut-base, specific purpose not explicitly stated

A model fine-tuned based on naver-clova-ix/donut-base, potentially used for receipt recognition or document understanding tasks

This is a vision-language model based on the Donut architecture, specifically fine-tuned for the CORD-V2 dataset for document image-to-text tasks.

A model fine-tuned on an image folder dataset based on naver-clova-ix/donut-base, with no specific use case explicitly stated

Receipt recognition model fine-tuned based on naver-clova-ix/donut-base

A receipt recognition model fine-tuned based on naver-clova-ix/donut-base

This is an image classification model generated based on HuggingPics, specifically designed to recognize and classify images into four categories: receipts, paper, invoices, and documents.

This is a Donut model fine-tuned on the CORD-v2 dataset, designed for image-to-text tasks, achieving an average accuracy of 0.901.

This model is a fine-tuned version of naver-clova-ix/donut-base on an image folder dataset, suitable for document understanding tasks.

Model fine-tuned based on naver-clova-ix/donut-base for processing image data

A document understanding model fine-tuned based on philschmid/donut-base-sroie

A document understanding model fine-tuned from naver-clova-ix/donut-base, suitable for image text extraction tasks

A binary classification model based on ViT architecture for identifying whether an image is a receipt/invoice

A fine-tuned model based on LayoutLMv3 for classifying documents into invoices or receipts.

VisionEncoderDecoder model fine-tuned on the CORD-v2 dataset for document understanding tasks

A document understanding model fine-tuned on the CORD dataset based on LayoutLMv3, excelling in document token classification tasks

A fine-tuned version of the microsoft/layoutlmv2-base-uncased model on an unknown dataset, suitable for document understanding tasks

A document understanding model fine-tuned on the CORD dataset based on the LayoutLMv2 architecture, suitable for structured document information extraction tasks

TrOCR is a Transformer-based optical character recognition model designed for single-line text image OCR tasks.