TableBank: A Benchmark Dataset for Table Detection and Recognition

Understand

We present TableBank, a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on the internet.

• Existing research for image-based table detection and recognition usually fine-tunes pre-trained models on out-of-domain data with a few thousand human-labeled examples, which is difficult to generalize on real-world applications.
• With TableBank that contains 417K high quality labeled tables, we build several strong baselines using state-of-the-art models with deep neural networks.
• We make TableBank publicly available and hope it will empower more deep learning approaches in the table detection and recognition task.