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
Update README.md
Browse filesadding dataset collection link
README.md
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- **Repository:** [https://github.com/Imageomics/mmla](https://github.com/Imageomics/mmla)
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- **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset](https://arxiv.org/abs/2504.07744)
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## Uses
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### Direct Use
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- **Repository:** [https://github.com/Imageomics/mmla](https://github.com/Imageomics/mmla)
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- **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset](https://arxiv.org/abs/2504.07744)
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- **Training Dataset:** [MMLA Data Collection](https://huggingface.co/collections/imageomics/mmla)
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## Uses
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### Direct Use
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