reece-iriye/thrift.ai

Thrift.ai: An Intuitive Image-Based Clothing Recommendation System

Thrift.ai is a project currently being developed using the DeepFashion dataset. This project is intended to start out as a Swift-based mobile app containing an MLOps component where we utilize the iPhone camera to detect clothing and show the user similar clothes from a multitude of selected online retailors. We want to use this app as a way to infer a user's preferred clothing style using images they take and interpret accordingly what kind of clothes they would like to show based on the clothes they pass in that they like.

References

@inproceedings{jia2020fashionpedia,
  title={Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset},
  author={Jia, Menglin, and Shi, Mengyun, and Sirotenko, Mikhail and Cui, Yin and Cardie, Claire and Hariharan, Bharath and Adam, Hartwig and Belongie, Serge},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2020}
}