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---
language: en
license: mit
tags:
- yolov8
- object-detection
- waste-classification
library_name: onnx
pipeline_tag: object-detection
---
# trashscan8n
YOLOv8 mobile_model_package_yolov8n_v2 ONNX model for waste classification.
## Classes
| Index | Class |
|-------|-------|
| 0 | paper |
| 1 | plastic |
| 2 | metal |
| 3 | organic |
| 4 | other |
## Usage
```python
import onnxruntime
import numpy as np
from PIL import Image
session = onnxruntime.InferenceSession("best.onnx")
input_name = session.get_inputs()[0].name
# Input: [1, 3, 640, 640] normalized float32
# Output: [1, 9, 8400] = [cx, cy, w, h, p0, p1, p2, p3, p4]
```
## Model Specs
- Input size: 640x640
- Format: ONNX
- Confidence threshold: 0.25
- IoU threshold: 0.5
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