Universe

Plastic bottle Computer Vision Dataset

byproject-sz8zeTask:
Object Detection
License:CC BY 4.01.43k views62 downloads
See all 1.4k imagesPlastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle samplePlastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle samplePlastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle samplePlastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle sample showing 0Plastic bottle Plasticbottle sample showing 0

About Plastic bottle Dataset

Here are a few use cases for this project:

  1. "Recycling Assistance": This computer vision model could easily be integrated into a recycling system to automatically separate plastic bottles from other waste types, improving the efficiency and accuracy of recycling centers.

  2. "Environment Monitoring": Organizations that conduct beach or outdoor clean-ups could use the model to scan areas for plastic waste, helping them to target and prioritize their cleaning efforts.

  3. "Smart Waste Management": The model could be used in smart waste bins to identify plastic bottles and either compact them separately for easier transport or provide feedback to users about their recycling habits.

  4. "Retail Management": In retail environments, the model could be used to monitor stock levels of products in plastic bottles, trigger restocking alerts, or track customer purchase patterns for inventory forecasting.

  5. "Packaging Technology Development": Companies developing innovative packaging solutions could use the model to study the prevalence and use of plastic bottles in different environments, informing their design and marketing strategies.

Use Free Plastic bottle, Object and 0 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": "plastic bottle, object, 0, Plasticbottle, 라벨지"
  },
  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{ plastic-bottle-bliqt_dataset,
  title = { Plastic bottle Dataset },
  type = { Open Source Dataset },
  author = { project-sz8ze },
  howpublished = { \url{ https://universe.roboflow.com/project-sz8ze/plastic-bottle-bliqt } },
  url = { https://universe.roboflow.com/project-sz8ze/plastic-bottle-bliqt },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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