détection des photo 4*4 Instance Segmentation Dataset and Pre-Trained Model by DATA

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Explore Dataset

Here are a few use cases for this project:

Sports Training Analysis: The model can be used by athletes or coaches for body posture analysis, especially in sports such as gymnastics, yoga, or dance. Feedback can then be provided to correct specific postures like "tete-epaule".
Physical Therapy Aid: In physical rehabilitation, the model can help in tracking patient's progress by identifying whether they are properly implementing specific postures. It can flag any misalignment, which can aid therapists in ensuring effective recovery.
Augmented Reality Applications: The model could be used in AR apps to enable interaction between physical and digital worlds. User can control virtual elements by changing their body posture detected by the model.
Posture Correction App: In office environments or for remote workers, it can provide real-time feedback on the user's posture aka "tete-epaule", helping to correct potential postural problems and prevent related health issues.
Education Resource: The model can be used in educational settings to train students on correct postures for different activities. It can analyze and provide feedback on students' poses, helping them improve and master their skills.

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{ detection-des-photo-4-4_dataset,
    title = { détection des photo 4*4 Dataset },
    type = { Open Source Dataset },
    author = { DATA },
    howpublished = { \url{ https://universe.roboflow.com/data-zswc5/detection-des-photo-4-4 } },
    url = { https://universe.roboflow.com/data-zswc5/detection-des-photo-4-4 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jul },
    note = { visited on 2023-12-08 },
}