Obvious Objects Segmentation Dataset

The progress of video and photo editing applications relies heavily on high-quality datasets for machine learning models training. Our carefully selected datasets play a crucial role in enhancing the abilities of such applications, by offering accurate segmentation and recognition of different elements within images and videos.

The "Obvious Objects Segmentation Dataset" is a specialized collection aimed at the media and visual entertainment sectors, featuring internet-collected images all at a uniform resolution of 1536 x 2048 pixels. This dataset is dedicated to the segmentation of salient objects that are immediately noticeable and attract attention in an image, utilizing both semantic and contour segmentation techniques to define these objects at the pixel level.