Specified Object Contour 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 "Specified Object Contour Segmentation Dataset" is aimed at robotics and visual entertainment sectors, consisting of internet-collected images with resolutions varying from 500 x 334 to 3956 x 2319 pixels. This dataset focuses on contour segmentation, with annotations targeting specified objects and scenes, such as goldfish, frogs, piers, and volcanoes, offering detailed outlines for precise object identification and scene analysis.