Salient Object Subitizing

by Jianming Zhang,Shugao Ma,Mehrnoosh Sameki,Stan Sclaroff,Margrit Betke,Zhe Lin,Xiaohui Shen,Brian Price,Radomir MechUnknown

Salient Object Subitizing

People can immediately and precisely identify that an image contains 1, 2, 3 or 4 items by a simple glance. The phenomenon, known as Subitizing, inspires us to pursue the task of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in a scene using holistic cues. SOS dataset: We have collected an image dataset for salient object subitizing. The source images are from four public image datasets: COCO, VOC07, ImageNet and SUN. Each image is labeled as containing 0, 1, 2, 3 or 4+ salient objects by Amazon Mechanic Turk workers MSO dataset: We assembled a Multi-Salient-Object (MSO) dataset. Images of the MSO dataset are taken from the test set of the SOS dataset. We removed images with severely overlapping salient objects. We also removed the images for which we find it ambiguous to label the indicated number of salient objects. This leaves us with 1224 images out of 1380 images from our SOS test set. As shown in the table below, more than half of the images in our MSO dataset contain either zero salient objects or multiple salient objects. We believe that this dataset provides a more realistic setting to evaluate salient object detection methods. Currently only bounding box annotations are available, but we will share the object segmentation annotations in the near future

Dataset Attributes

Label SVG
TasksVisual Reasoning
Label SVG
CategoriesCounting, Subitzing, Objects
Label SVG
SensorRGB Camera

Class Labels

01234