deeeetection1-2 Object Detection Dataset and Pre-Trained Model by 1

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Explore Dataset

Here are a few use cases for this project:

Medical Diagnostics: The "deeeetection1-2" model can be used to identify diverse problems in medical imaging by classifying the condition of a patient's body part into different categories (TYPE 0, TYPE 1, Oijjhd), helping doctors with early diagnosis and treatment.
Fitness and Health Apps: This model could be used in fitness and health monitoring apps to assess and monitor a person's physical condition or progress based on changes in their body structure.
Body Transformation Studies: The model can be deployed to track the changes in a person's body due to dietary changes, exercise, or medicinal treatment. This can provide helpful insights in weight loss programs or muscle development training.
Posture Analysis: In physiotherapy, this model can aid in analyzing the posture and alignment of a person's body, helping physiotherapists to provide tailored treatment plans for their patients.
Fashion and Clothing Industry: This computer vision model can be used in the clothing industry for intelligent size recommendation systems. By identifying different body types, a more personalized clothing size can be suggested to customers.

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{
                            deeeetection1-2_dataset,
                            title = { deeeetection1-2 Dataset },
                            type = { Open Source Dataset },
                            author = { 1 },
                            howpublished = { \url{ https://universe.roboflow.com/1-fizpt/deeeetection1-2 } },
                            url = { https://universe.roboflow.com/1-fizpt/deeeetection1-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-04-29 },
                            }