DeepAI AI Chat
Log In Sign Up

IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents

by   Ajoy Mondal, et al.
IIIT Hyderabad

We introduce a new dataset for graphical object detection in business documents, more specifically annual reports. This dataset, IIIT-AR-13k, is created by manually annotating the bounding boxes of graphical or page objects in publicly available annual reports. This dataset contains a total of 13k annotated page images with objects in five different popular categories - table, figure, natural image, logo, and signature. It is the largest manually annotated dataset for graphical object detection. Annual reports created in multiple languages for several years from various companies bring high diversity into this dataset. We benchmark IIIT-AR-13K dataset with two state of the art graphical object detection techniques using Faster R-CNN [20] and Mask R-CNN [11] and establish high baselines for further research. Our dataset is highly effective as training data for developing practical solutions for graphical object detection in both business documents and technical articles. By training with IIIT-AR-13K, we demonstrate the feasibility of a single solution that can report superior performance compared to the equivalent ones trained with a much larger amount of data, for table detection. We hope that our dataset helps in advancing the research for detecting various types of graphical objects in business documents.


page 1

page 2

page 3

page 4


Marine Microalgae Detection in Microscopy Images: A New Dataset

Marine microalgae are widespread in the ocean and play a crucial role in...

Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation

We present a new dataset, called Falling Things (FAT), for advancing the...

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

Recognizing scenes and objects in 3D from a single image is a longstandi...

Graphical Object Detection in Document Images

Graphical elements: particularly tables and figures contain a visual sum...

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

3D object detection has recently become popular due to many applications...

Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study

The detection of object states in images (State Detection - SD) is a pro...