# Academic Paper Analysis

TFT-ID is a fine-tuned object detection model specifically designed for detecting tables, figures, and text regions in academic papers, based on Florence-2 fine-tuning

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

TF-ID is a visual object detection model specifically designed for extracting tables and charts from academic papers, fine-tuned based on Florence-2

This model focuses on academic research purposes, emphasizing the need to evaluate potential issues such as accuracy, safety, and fairness before deployment.