Instructions to use SERHANI/skin_disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use SERHANI/skin_disease with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("SERHANI/skin_disease") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
YOLO Custom Model
YOLO Custom Model
This is a YOLO model trained on custom data.
Model Description
- Model Type: YOLO
- Training Data: Custom Dataset
- Input: Images
- Output: Bounding boxes with class predictions
Usage
from ultralytics import YOLO
# Load the model
model = YOLO('model.pt')
# Make predictions
results = model('image.jpg')
Training Details
- Framework: Ultralytics YOLOv8
- Training Device: cuda
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