dataset_info = dict( dataset_name='deepfashion_full', paper_info=dict( author='Liu, Ziwei and Luo, Ping and Qiu, Shi ' 'and Wang, Xiaogang and Tang, Xiaoou', title='DeepFashion: Powering Robust Clothes Recognition ' 'and Retrieval with Rich Annotations', container='Proceedings of IEEE Conference on Computer ' 'Vision and Pattern Recognition (CVPR)', year='2016', homepage='http://mmlab.ie.cuhk.edu.hk/projects/' 'DeepFashion/LandmarkDetection.html', ), keypoint_info={ 0: dict( name='left collar', id=0, color=[255, 255, 255], type='', swap='right collar'), 1: dict( name='right collar', id=1, color=[255, 255, 255], type='', swap='left collar'), 2: dict( name='left sleeve', id=2, color=[255, 255, 255], type='', swap='right sleeve'), 3: dict( name='right sleeve', id=3, color=[255, 255, 255], type='', swap='left sleeve'), 4: dict( name='left waistline', id=0, color=[255, 255, 255], type='', swap='right waistline'), 5: dict( name='right waistline', id=1, color=[255, 255, 255], type='', swap='left waistline'), 6: dict( name='left hem', id=2, color=[255, 255, 255], type='', swap='right hem'), 7: dict( name='right hem', id=3, color=[255, 255, 255], type='', swap='left hem'), }, skeleton_info={}, joint_weights=[1.] * 8, sigmas=[])