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 ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Jeremy341/MIRA-AI") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- 771 Bytes
- 6.25 MB xet
- 479 Bytes
- 6.23 MB xet
- 3.31 MB xet
- 3.33 MB xet
- 6.23 MB xet
- 3.31 MB xet
- 5.46 MB xet
- 3.04 MB xet
- 5.46 MB xet
- 394 Bytes
- 3.04 MB xet
- 5.46 MB xet
- 3.04 MB xet
- 5.46 MB xet
- 3.04 MB xet
- 10.6 MB xet
- 5.46 MB xet
- 482 Bytes
- 3.04 MB xet
- 10.6 MB xet
- 5.47 MB xet
- 3.04 MB xet
- 10.6 MB xet
- 5.47 MB xet
- 3.02 MB xet
- 3.04 MB xet