Universe

Plsatic Dataset Computer Vision Dataset

bybucheon high schoolTask:
Object Detection
License:MIT213 views19 downloads
See all 2.5k imagesPlsatic Dataset Plastic sample showing PPPlsatic Dataset Plastic sample showing PEPlsatic Dataset Plastic sample showing PEPlsatic Dataset Plastic sample showing PPPlsatic Dataset Plastic sample showing PETPlsatic Dataset Plastic sample showing PPPlsatic Dataset Plastic sample showing PETPlsatic Dataset Plastic sample showing PEPlsatic Dataset Plastic sample showing PETPlsatic Dataset Plastic sample showing PETPlsatic Dataset Plastic sample showing PEPlsatic Dataset Plastic sample showing PP

About Plsatic Dataset Dataset

Here are a few use cases for this project:

  1. Recycling Industry Automation: The "Plastic Dataset" model can be used in recycling facilities to identify and sort different types of plastics. It could improve the efficiency and accuracy of the sorting process.

  2. Environmental Research: Environmental researchers can use this model to study the prevalence of certain types of plastics in various environments. For example, it could be used to quantify the types of plastic pollutants found in a particular body of water or on a certain stretch of coastline.

  3. Waste Management: Municipalities and waste management companies can use this computer vision model to better sort trash, ensuring that different types of plastic end up in the right recycling process. It can help achieve better recycling rates and mitigate environmental damage.

  4. Testing Material Compliance in Manufacturing: Manufacturers can use the model to ensure that their suppliers are delivering the correct type of plastic by cross-verification. This could especially be useful in industries where the type of plastic used is crucial for product safety and performance.

  5. Consumer Education: The model could be integrated into a mobile application to help consumers identify the type of plastic used in the products they buy. It can promote more informed purchasing decisions and encourage responsible recycling practices.

Use Free PET, PE and PP 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": "PET, PE, PP, PS"
  },
  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

LicenseMIT

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

@misc{ plsatic-dataset_dataset,
  title = { Plsatic Dataset Dataset },
  type = { Open Source Dataset },
  author = { bucheon high school },
  howpublished = { \url{ https://universe.roboflow.com/bucheon-high-school/plsatic-dataset } },
  url = { https://universe.roboflow.com/bucheon-high-school/plsatic-dataset },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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