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trashscan8m
ditoow/trashscan8m
trashscan8m is a object detection model from ditoow. Use it when you need objects located in an image. It is set up for onnx. The card lists the license as mit.
YOLOv8 mobilemodelpackageyolov8mv2 ONNX model for waste classification.
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Public
Updated Jun 18, 2026
Repo size
104 MB
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.onnx104 MB · 100%
At a glance
- Task
- Object Detection
- Library
- onnx
- License
- mit
- Access
- Public
- Created
- Jun 18, 2026
- Updated
- Jun 18, 2026
- SHA
- c76b2b85
Model card
From the Hugging Face model README
trashscan8m
YOLOv8 mobile_model_package_yolov8m_v2 ONNX model for waste classification.
Classes
| Index | Class |
|---|---|
| 0 | paper |
| 1 | plastic |
| 2 | metal |
| 3 | organic |
| 4 | other |
Usage
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
- Task
- Object Detection
- Library
- onnx
- License
- mit
- Languages
- en
- Created
- Jun 18, 2026
- Updated
- Jun 18, 2026