SYSU-Shape Dataset
Description
SYSU-Shapes dataset is a new shape database including elaborately annotated shape contours. Compared with the existing shape databases, this database includes more realistic challenges in shape detection and localization, e.g., cluttered backgrounds, large intraclass variations, and different poses/views, in which part of the instances were originally used for appearance-based object detection.
There are 5 categories, i.e. airplanes, boats, cars, motorbikes, and bicycles, and each category contains 200~500 images.
Citation
Liang Lin, Xiaolong Wang, Wei Yang, and JianHuang Lai, Discriminatively Trained And-Or Graph Models for Object Shape Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2014.2359888, 2014.
