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leonelgv
/
pollinator-classifier

Image Classification
ultralytics
PyTorch
English
yolo
vision
insects
pollinators
biodiversity
ecology
conservation
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use leonelgv/pollinator-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use leonelgv/pollinator-classifier with ultralytics:

    # Couldn't find a valid YOLO version tag.
    # Replace XX with the correct version.
    from ultralytics import YOLOvXX
    
    model = YOLOvXX.from_pretrained("leonelgv/pollinator-classifier")
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
pollinator-classifier
4.82 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
leonelgv's picture
leonelgv
Add Configuration file: fix_yaml.py
39106cc verified about 1 year ago
  • utils
    Add Dataset preparation utilities about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • Pollinator_Classifier.ipynb
    1.82 MB
    Add Complete training and analysis notebook about 1 year ago
  • README.md
    1.14 kB
    Add model card with 92.07% accuracy metrics about 1 year ago
  • fix_yaml.py
    3.02 kB
    Add Configuration file: fix_yaml.py about 1 year ago
  • pollinator_classifier.py
    4.17 kB
    Add Main inference script for pollinator classification about 1 year ago
  • test_classifier.py
    1.33 kB
    Add Testing and validation script about 1 year ago
  • yolo8n.pt
    2.99 MB
    xet
    Add YOLOv8 Nano model weights for pollinator classification about 1 year ago