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skinfix-vit-dermatology
Megesh03/skinfix-vit-dermatology
skinfix-vit-dermatology is a image classification model from Megesh03. Use it when you need a label for an image. The card lists the license as mit.
A Vision Transformer (ViT-Base-16) fine-tuned for skin condition classification.
Access
Public
Updated Feb 16, 2026
Repo size
343 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026
- SHA
- 5744e326
Datasets
Model card
From the Hugging Face model README
SkinFix ViT Dermatology Classifier
A Vision Transformer (ViT-Base-16) fine-tuned for skin condition classification.
Model Details
| Property | Value |
|---|---|
| Architecture | ViT-Base-16 (torchvision) |
| Input | 224x224 RGB images |
| Output | 4 clinical categories |
| Validation Accuracy | 88.22% |
| Calibration ECE | 0.69% |
| Format | safetensors |
| Size | ~330 MB |
Classes
| ID | Class | Description |
|---|---|---|
| 0 | inflammatory | Eczema, Psoriasis, Dermatitis, Rosacea |
| 1 | infectious | Bacterial, Fungal, Viral infections |
| 2 | lesion_like | BCC, Actinic Keratosis, Seborrheic Keratosis |
| 3 | pigmented | Melanoma, Nevi, Lentigo |
Usage
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="Megesh03/skinfix-vit-dermatology",
filename="best_model.safetensors"
)
Calibration
Temperature scaling applied (T=1.2584) to ensure predicted confidence matches real-world accuracy within 1%.
Disclaimer
⚠️ This model is for educational/research screening purposes only. It is NOT a replacement for professional medical diagnosis.
- Task
- Image Classification
- License
- mit
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026