Object Detection
ultralytics
LiteRT
Keras
ONNX
English
yolo
yolo11
yolo11n
yolov11
yolov11n
computer-vision
waste-detection
trash-detection
garbage-detection
recycling
recycling-automation
waste-sorting
edge-ai
Instructions to use Jeremy341/MIRA-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Jeremy341/MIRA-AI 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("Jeremy341/MIRA-AI", "<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
Browse files
README.md
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# MIRA — mira_exp019
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Machine Intelligence for Recycling Automation — YOLO11 detection model.
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---
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library_name: ultralytics
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pipeline_tag: object-detection
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tags:
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- object-detection
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- computer-vision
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- waste-sorting
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- yolo11
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datasets:
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- dmedhi/garbage-image-classification-detection
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- garythung/trashnet
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license: mit
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language:
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- en
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base_model:
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- Ultralytics/YOLO11
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---
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# MIRA — mira_exp019
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Machine Intelligence for Recycling Automation — YOLO11 detection model.
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