Universe

Garbage Model Computer Vision Dataset

byyoloTask:
Object Detection
License:CC BY 4.0298 views6 downloads
See all 936 imagesGarbage Model garbage sample showing organikGarbage Model garbage sample showing organikGarbage Model garbage sample showing anorganik, organikGarbage Model garbage sample showing anorganikGarbage Model garbage sample showing organikGarbage Model garbage sample showing organikGarbage Model garbage sample showing organikGarbage Model garbage sample showing organikGarbage Model garbage sample showing anorganikGarbage Model garbage sample showing organikGarbage Model garbage sample showing b3Garbage Model garbage sample showing anorganik

About Garbage Model Dataset

Here are a few use cases for this project:

  1. Waste Management Systems - This model can be used to automate the sorting process in waste treatment facilities. By identifying the types of garbage, it can accurately sort organic, inorganic, and hazardous (B3) waste, improving efficiency and compliance with waste regulations.

  2. Smart Cities Initiatives - Cities can deploy this model in smart trash cans and recycling bins across different locations, assisting in proper waste disposal by identifying the type of waste being disposed and alerting city services when specific bins (organic, inorganic or hazardous) are full.

  3. Environmental Monitoring - The model can be used in drones or other surveillance systems to monitor the environment. It can identify and categorize types of litter in public areas, providing data for better urban cleanliness strategies.

  4. Education and Awareness App - The model could be integrated within an app to educate and raise awareness about correct waste segregation. Users could take snapshots of their trash and the app would identify and explain how to dispose of it correctly.

  5. Retail Industry - Supermarkets and food stores could use it to identify and categorize unsold food waste, aiding in more effective waste management and potentially contributing to initiatives aimed at reducing food waste.

Use Free Anorganik, B3 and Organik 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": "anorganik, b3, organik"
  },
  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 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ garbage-model-yklq5_dataset,
  title = { Garbage Model Dataset },
  type = { Open Source Dataset },
  author = { yolo },
  howpublished = { \url{ https://universe.roboflow.com/yolo-y9ms0/garbage-model-yklq5 } },
  url = { https://universe.roboflow.com/yolo-y9ms0/garbage-model-yklq5 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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