Dermnet Object Detection Dataset and Pre-Trained Model by class

Images

655 images

Explore Dataset

Here are a few use cases for this project:

Dermatological Diagnostics: The Dermnet model can be applied in medical and healthcare settings such as hospitals and dermatology clinics. This model would aid dermatologists in quicker and more accurate diagnosis of skin conditions like Psoriasis and Eczema, particularly in cases where physical examination is insufficient.
Telemedicine Platform: This model can be integrated into telemedicine platforms to provide preliminary assessments of skin conditions based on user-submitted images. In regions where access to dermatologists is limited, such a platform would prove invaluable.
Personal Skin Care Applications: The model can be used by skincare brands to develop mobile applications that help users identify their skin problems and recommend appropriate treatments or skincare products.
Baby Care Applications: The example image indicates the model's ability to work with images of babies. Baby care apps can use the model to help parents remotely diagnose potential skin ailments in infants and seek professional help when necessary.
Medical Training and Education: The model can be used as an educational tool in medical schools, to help students learn to identify Psoriasis, Eczema, and possibly other skin conditions, improving their diagnostic 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{
                            dermnet_dataset,
                            title = { Dermnet Dataset },
                            type = { Open Source Dataset },
                            author = { class },
                            howpublished = { \url{ https://universe.roboflow.com/class-l9lh0/dermnet } },
                            url = { https://universe.roboflow.com/class-l9lh0/dermnet },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-04-25 },
                            }