Instructions to use fbononibelloepoch/malaria-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use fbononibelloepoch/malaria-detection with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("fbononibelloepoch/malaria-detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Malaria Detection YOLOv8 Model
This model detects malaria parasites in blood smear images using YOLOv8.
Model Details
- Type: Object Detection
- Architecture: YOLOv8
- Task: Malaria Parasite Detection
Usage
""" #python
from ultralytics import YOLO #Load model model = YOLO('fbononibelloepoch/malaria-detection') #Perform inference results = model('image.jpg') """
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