Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

codeshujaaa
/
kenyanmalarai-detect

Object Detection
ultralytics
TensorBoard
English
medical
biology
malaria
plasmodium
microscopy
giemsa
computer-vision
africa
kenya
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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
kenyanmalarai-detect
97.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
codeshujaaa's picture
codeshujaaa
Update README.md
16e59ac verified 7 months ago
  • runs
    Upload folder using huggingface_hub 7 months ago
  • weights
    Upload weights/best_v2.pt with huggingface_hub 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    12.2 kB
    Update README.md 7 months ago