Try On Instance Segmentation Dataset and Pre-Trained Model by xrwala

Images

3931 images

Explore Dataset

Here are a few use cases for this project:

Virtual Shoe Fitting: The "Try On" computer vision model can be integrated into e-commerce platforms and retail websites, enabling users to virtually try on various shoe designs on their legs, providing a better shopping experience and potentially reducing returns due to inaccurate fit or style preferences.
Personalized Fashion Recommendations: The model can be utilized by fashion apps or stylists to generate personalized shoe recommendations based on the user's leg shape, size, and shoe preferences. It can also help users visualize how certain shoe styles would look with their outfits.
Adaptive Shoe Design: The "Try On" model could be employed by shoe designers and manufacturers to create adaptive and accessible shoe designs that cater to individuals with varying leg shapes and requirements, such as prosthetics or mobility aids.
Augmented Reality Experience: The model can be integrated into augmented reality apps or devices, offering users the ability to virtually try on shoes in real-time as they visit physical stores or browse online catalogs, enhancing the overall retail experience.
Content Creation and Editing: The "Try On" model can assist graphic designers, content creators, and photographers in the creation and editing process, allowing them to modify or add shoes and legs in various images, like advertising campaigns or fashion editorial content.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            try-on-5gox9_dataset,
                            title = { Try On Dataset },
                            type = { Open Source Dataset },
                            author = { xrwala },
                            howpublished = { \url{ https://universe.roboflow.com/xrwala/try-on-5gox9 } },
                            url = { https://universe.roboflow.com/xrwala/try-on-5gox9 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-26 },
                            }