Crowdsourcing image segmentation using SVG

With the ubiquity of digital cameras, camera phones, web cams, etc., the amount of digital image data is exploding. However, to utilize this data for image annotation and recognition algorithms, a large amount of labeled data for training is required. But obtaining training data on large datasets of images is a very tedious and expensive process. To address this issue, we develop an online image annotation system that can collect annotation data from crowds. Additionally, we incorporate semi-automatic segmentation algorithms that are able to assist the user in creating accurate object boundaries. We show that our system is an effective and useful tool in collecting image annotation data.