DermaVision EfficientNet
🔥 Live Interactive Demo: Click here to try the DermaVision App
Model source
- Kind
- Other
- File size
- 232 MB
- Version
- vModel
- Updated
- Oct 10, 2026
- Source
- Hugging Face
Source description
DermaVision: Skin Lesion Analysis 🩺
🔥 Live Interactive Demo: Click here to try the DermaVision App
DermaVision is an EfficientNetV2-S model fine-tuned on the HAM10000 dataset to classify dermoscopic images into 7 skin lesion categories.
Model Details
- Architecture: EfficientNetV2-S
- Task: Multi-class Image Classification
- Dataset: HAM10000
- Target AUC-ROC: > 0.90
Code & Repository
The full source code, including the FastAPI backend and Streamlit dashboard, is available on GitHub: farazmalik180/DermaVision
Warning / Medical Disclaimer
DermaVision is a research project and academic demonstration. It is NOT a certified medical device and should NOT be used as a substitute for professional dermatological diagnosis. Always consult a board-certified dermatologist for any skin concern.
Sources
1 source
Sources
1 sourceVerified Oct 10
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit tags: - medical - vision - image-classification - pytorch - skin-cancer --- # DermaVision: Skin Lesion Analysis 🩺 🔥 **Live Interactive Demo:** [Click here to try the DermaVision App](https://dermavisionn.streamlit.app/) DermaVision is an EfficientNetV2-S model fine-tuned on the HAM10000 dataset to classify dermoscopic images into 7 skin lesion categories. ### Model Details - **Architecture:** EfficientNetV2-S - **Task:** Multi-class Image Classification - **Dataset:** HAM10000 - **Target AUC-ROC:** > 0.90 ### Code & Repository The full source code, including the FastAPI backend and Streamlit dashboard, is available on GitHub: [farazmalik180/DermaVision](https://github.com/farazmalik180/DermaVision) --- ### Warning / Medical Disclaimer DermaVision is a research project and academic demonstration. It is NOT a certified medical device and should NOT be used as a substitute for professional dermatological diagnosis. Always consult a board-certified dermatologist for any skin concern.
Source context: 0 downloads · 0 likes · Pipeline image-classification · Repo MF180/DermaVision-EfficientNet
