Object Detection
ultralytics
TensorBoard
English
medical
biology
malaria
plasmodium
microscopy
giemsa
computer-vision
africa
kenya
Eval Results (legacy)
Instructions to use codeshujaaa/kenyanmalarai-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use codeshujaaa/kenyanmalarai-detect 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("codeshujaaa/kenyanmalarai-detect", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Ultralytics/YOLO26
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pipeline_tag: object-detection
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library_name: ultralytics
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tags:
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- medical
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- biology
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- Ultralytics/YOLO26
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pipeline_tag: object-detection
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library_name: ultralytics
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description: "YOLO26m trained to detect Ring, Trophozoite and Schizont stages of P. falciparum in Giemsa-stained blood smears"
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tags:
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- medical
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- biology
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