# High-precision positioning

RT-DETR-L_wireless_table_cell_det is a high-precision table cell detection model designed specifically for table recognition tasks. It can accurately locate and mark each cell area in the table image.

RT-DETR-L_wired_table_cell_det is a key module in the table recognition task, mainly responsible for locating and marking each cell area in the table image.

D-FINE is a powerful real-time object detection model that achieves excellent positioning accuracy by redefining the bounding box regression task in the DETR model.

D-FINE is a powerful real-time object detection model that achieves excellent positioning accuracy by redefining the bounding box regression task in the DETR model.

D-FINE is a model for object detection that achieves excellent positioning accuracy by redefining the bounding box regression task in the DETR model.

This is an object detection model released under the Apache-2.0 license, designed to identify and locate specific objects within images.

An object detection model based on the YOLO11x architecture, specifically designed to recognize digits (0-10) and basic arithmetic operators (addition, subtraction, multiplication, division, etc.) in images.

An object detection model optimized for recognizing numbers (0-10) and basic operators (+, -, ×, ÷, =)

InstantDrag is an image editing model based on drag-and-drop interaction, designed to enhance the interactivity and efficiency of image editing.

TF-ID is a series of object detection models specifically designed to extract tables, pictures, and their caption texts from academic papers.

An object detection model based on YOLOv8, specifically designed to detect players, goalkeepers, referees, and the ball in football matches.