Object Detection
ultralytics
English
biology
CV
images
animals
YOLO
fine-tuned
zebra
giraffe
onager
dog
Instructions to use imageomics/mmla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use imageomics/mmla 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("imageomics/mmla", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Create bootstrap/bootstrap_readme.txt
Browse files
bootstrap/bootstrap_readme.txt
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Files to perform bootstrapping analysis. Includes inference results generated by both fine-tuned YOLO11m and baseline YOLO11m on test partition of MMLA dataset.
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