A curated collection of research papers, datasets, and software tools organized into categories for table recognition and structure extraction. It covers specific sub-tasks including table detection, cell recognition, and functional analysis.
Use Cases
- Identify benchmark datasets for training table detection models using the curated resource links
- Review academic literature to understand methodology using the paper category labels
- Select software libraries for table parsing using the tools and implementations section
Strengths
- Organizes resources into categories including Datasets, Papers, and Tools
- Focuses on the specific domain of Table Recognition within document image analysis
- Provides a structured list of external links to GitHub repositories and academic PDFs