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
Upload mira_exp013_int8.tflite with huggingface_hub
Browse files- mira_exp013_int8.tflite +3 -0
mira_exp013_int8.tflite
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