Human Feet Models Object Detection Dataset and Pre-Trained Model by FootDetectionProject

Images

804 images

Explore Dataset

Here are a few use cases for this project:

Shoe Size Recommender: This model can be integrated into e-commerce websites to help users determine their correct shoe size. By analyzing images of a user's foot, the "Human Feet Models" can predict the shoe size and suggest the most suitable shoes based on foot shape and dimensions.
Orthopedic Analysis: The computer vision model can be used by healthcare professionals to identify potential foot problems, such as flat feet or high arches. Early detection can help patients receive appropriate treatment and preventive measures, thus improving overall foot health.
Custom Orthotic Design: Leveraging "Human Feet Models" can assist in designing custom orthotics or insoles tailored to an individual's foot shape and arch type. By analyzing the foot, the model can determine the ideal support structure to provide optimal comfort and alleviate pain.
Footwear Fit Assessment: The model can be incorporated into augmented reality (AR) applications that overlay virtual footwear on a user's foot, providing a visual representation of how different styles and sizes might fit. This could be particularly useful for virtual try-on experiences.
Gait Analysis and Biomechanics: The "Human Feet Models" could be used to analyze a person's gait and foot strike patterns, enabling researchers or sports professionals to study the impact of footwear or foot modifications on biomechanics and the risk of injury. This could inform the development of more effective footwear and aid in personalized training regimens.

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{
                            human-feet-models_dataset,
                            title = { Human Feet Models Dataset },
                            type = { Open Source Dataset },
                            author = { FootDetectionProject },
                            howpublished = { \url{ https://universe.roboflow.com/footdetectionproject-3re0x/human-feet-models } },
                            url = { https://universe.roboflow.com/footdetectionproject-3re0x/human-feet-models },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-28 },
                            }