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Trashscan8n

YOLOv8 mobilemodelpackageyolov8nv2 ONNX model for waste classification.

KindOtherVersionRevision 7b779f1Cgrade

Model source

Kind
Other
File size
11.7 MB
Version
vRevision 7b779f1
Updated
Sep 16, 2026
Downloads
0
Source
Hugging Face

Source description

trashscan8n

YOLOv8 mobile_model_package_yolov8n_v2 ONNX model for waste classification.

Classes

IndexClass
0paper
1plastic
2metal
3organic
4other

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

Sources

1 source
Hugging FacePrimaryVersion 7b779f1de29d49ec1bce6a9c93692b17ec5f7625
huggingface.co/ditoow/trashscan8n/tree/7b779f1de29d49ec1bce6a9c93692b17ec5f7625

Verified Sep 2

Model artifacts

1 artifact

best.onnx

onnx · 11.7 MB · SHA-256 16a67dd31559…2b07 · Hugging Face

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Source excerpts

2 excerpts

--- 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

Source context: 0 downloads · 0 likes · Pipeline object-detection · Library onnx · Repo ditoow/trashscan8n