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
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README.md
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- **Developed by:** Jenna Kline
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- **Model type:** Object Detection and Classification
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- **Language(s) (NLP):** Not applicable (Computer Vision model)
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- **License:** CC0-1.0
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- **Fine-tuned from model:** YOLOv11m (ultralytics/yolo11m.pt)
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### Model Sources
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- **Repository:** https://github.com/Imageomics-ABC-edu/final-project-kenyan-ungulates-with-wilddroneeu
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- **Paper:** [MMLA](https://arxiv.org/abs/2504.07744)
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- **Demo:** TO DO
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## Uses
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- **Developed by:** Jenna Kline
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- **Model type:** Object Detection and Classification
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- **Language(s) (NLP):** Not applicable (Computer Vision model)
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- **Fine-tuned from model:** YOLOv11m (ultralytics/yolo11m.pt)
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### Model Sources
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- **Repository:** https://github.com/Imageomics-ABC-edu/final-project-kenyan-ungulates-with-wilddroneeu
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- **Paper:** [MMLA](https://arxiv.org/abs/2504.07744)
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## Uses
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