Fashion Dataset
This dataset is a composition of fashion images and associated tags and comments crawled from two fashion-related social networks, namely pose.com and chictopia.com. The first part of this dataset (related to the pose.com website) was crawled from January 15, 2014 to January 25, 2014, resulting in more than two thousand instances. Now, the second part of this dataset (related to the chictopia.com website) was crawled from January 25, 2014 to February 5, 2014, resulting in almost two thousand samples. At the end, the whole dataset is composed of approximately four thousands images and associated tags and comments.
Statistics
As mentioned, the whole dataset has approximately four thousands instances.
Combining labels from both websites results in a set of 31 class possibilities: “bag”, “bathing suit”, “belt”, “booties”, “cape”, “coat”, “dress”, “glass”, “gloves”, “hat”, “headband”, “jacket”, “jewelry”, “jumpsuit”, “pants”, “pumps”, “sandals”, “scarf”, “shirt”, “shoes”, “shorts”, “skirt”, “sneakers”, “socks”, “suit”, “sweater”, “tights”, “umbrella”, “underwear”, “vest” and “wallet”. Images crawled from pose.com have 620×620 pixels while the ones crawled from chictopia.com have 400×600 pixels.
More statistics about the dataset next:
Statistic | pose.com | chictopia.com |
---|---|---|
Number of photos | 2,306 | 1,579 |
Number of tags | 7,501 | 5,093 |
Number of comments | 27,486 | 12,348 |
Tags per photo | 3.25 | 3.23 |
Comments per photo | 11.92 | 7.82 |
@article{nogueira2016pointwise,
title={Pointwise and pairwise clothing annotation: combining features from social media},
author={Nogueira, Keiller and Veloso, Adriano Alonso and Dos Santos, Jefersson Alex},
journal={Multimedia Tools and Applications},
volume={75},
number={7},
pages={4083--4113},
year={2016},
publisher={Springer}
}
@inproceedings{veloso2014learning,
title={Learning to annotate clothes in everyday photos: multi-modal, multi-label, multi-instance approach},
author={Veloso, Adriano Alonso and dos Santos, Jefersson A and Nogueira, Keiller},
booktitle={2014 27th SIBGRAPI Conference on Graphics, Patterns and Images},
pages={327--334},
year={2014},
organization={IEEE}
}