# Document Processing

A YOLOv8s fine-tuned model specialized for locating signatures in document images

A multimodal table detection model fine-tuned based on the Florence-2 model, capable of precisely locating table areas in images.

A Transformer-based model for table structure recognition, designed to detect table structures in documents

A table structure recognition model based on the DETR architecture, specifically designed for detecting and analyzing table structures in documents.

A table transformer model trained on the PubTables1M dataset for table structure recognition in documents.

An object detection model based on YOLOv8m, specifically designed for table extraction tasks, capable of detecting both bordered and borderless tables.

A table detection model based on YOLOv8 for identifying table regions in images, supporting both bordered and borderless table detection.

A table detection model based on YOLOv8, capable of identifying table regions in documents, supporting both bordered and borderless table types.

Table Transformer is a table detection model based on the DETR architecture, specifically designed to detect and recognize table structures from document images.

A Portuguese archive retrieval assistant model fine-tuned based on bert-base-multilingual-cased, mainly used for token classification tasks

MNIST handwritten digit classification model based on LeNet-5 architecture, officially provided by MindSpore