Instructions to use atalaydenknalbant/budgerigar_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use atalaydenknalbant/budgerigar_models with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("atalaydenknalbant/budgerigar_models") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Pretrained YOLO and rtdetr object detection models for determining budgerigar gender based on cere color variations. For an in-depth understanding refer to the paper: Advanced Computer Vision Techniques for Reliable Gender Determination in Budgerigars (Melopsittacus Undulatus)
UPDATE: Uploaded best performing model budgerigar_rtdetr-x.pt
UPDATE~2: Finished uploading models with 200 epochs for better accuracies.(Previous models trained for 100 epochs) 2/02/2025
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