- News
- 2017-10-27 A new task of Fashion Image Synthesis is presented.
- 2016-08-08 More useful labels, annotations, and evaluation results for each benchmark will be released soon.
- 2016-08-08 Attribute Prediction Benchmark has been released.
- 2016-07-29 If Dropbox are not accessable, please download the dataset using Google Drive or Baidu Drive.
- 2016-07-27 The benchmarks of “Fashion Landmark Detection” has been released.
- 2016-07-18 The “In-shop Clothes Retrieval Benchmark” and “Consumer-to-shop Clothes Retrieval Benchmark” have been released.
- Descriptions
- We contribute DeepFashion database, a large-scale clothes database, which has several appealing properties:
- First, DeepFashion contains over 800,000 diverse fashion images ranging from well-posed shop images to unconstrained consumer photos.
- Second, DeepFashion is annotated with rich information of clothing items. Each image in this dataset is labeled with 50 categories, 1,000 descriptive attributes, bounding box and clothing landmarks.
- Third, DeepFashion contains over 300,000 cross-pose/cross-domain image pairs.
- http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion/intro.jpg
- link: http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html
