waste image classification Computer Vision Dataset
About waste image classification Dataset
Automated Waste Classification Using Deep Learning for Smart Recycling
Use Free Paper, Glass and Metal Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "Paper, glass, metal, E_waste, mixed"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ waste-image-classification-298ab_dataset,
title = { waste image classification Dataset },
type = { Open Source Dataset },
author = { Object Detection Project },
howpublished = { \url{ https://universe.roboflow.com/object-detection-project-nbhrv/waste-image-classification-298ab } },
url = { https://universe.roboflow.com/object-detection-project-nbhrv/waste-image-classification-298ab },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { apr },
note = { visited on 2026-07-29 },
}