Universe

greenbeans-terang Computer Vision Dataset

byPercobaan1Task:
Object Detection
License:CC BY 4.080 views2 downloads
See all 268 imagesgreenbeans-terang bijikopi sample showing Kulit kopigreenbeans-terang bijikopi sample showing Biji bertutul-tutulgreenbeans-terang bijikopi sample showing Biji bertutul-tutulgreenbeans-terang bijikopi sample showing Benda asing, Biji normal, Biji pecahgreenbeans-terang bijikopi sample showing Biji bertutul-tutulgreenbeans-terang bijikopi sample showing Benda asinggreenbeans-terang bijikopi sample showing Biji bertutul-tutulgreenbeans-terang bijikopi sample showing Biji hitam sebagiangreenbeans-terang bijikopi sample showing Biji berkulit tandukgreenbeans-terang bijikopi sample showing Biji hitam, Biji hitam pecah, Biji hitam sebagiangreenbeans-terang bijikopi sample showing Kopi gelondonggreenbeans-terang bijikopi sample showing Biji coklat, Biji hitam

About greenbeans-terang Dataset

Here are a few use cases for this project:

  1. Coffee Quality Control: This model can be beneficial in the automation of coffee quality control processes. By identifying different classes of coffee beans, businesses can automatically segregate low-quality, damaged, or foreign beans from high-quality ones at production facilities, providing a consistent quality of roasts and blends.

  2. Agricultural Practices: Farmers and agricultural businesses can use this model to evaluate the quality of their crops. Understanding the types of defects present in their coffee beans yield can help guide future farming practices or pest management strategies.

  3. Coffee Trading Platform: An e-commerce platform dealing in coffee trading can integrate this computer vision model to monitor the quality of coffee beans listed for sale. This can provide a fair and transparent trading environment, where quality assessment is not dependent solely on descriptions by the sellers.

  4. Academic Research: Researchers studying coffee farming, bean classification, or looking to develop automated systems could use this model as a foundation for various exploratory studies related to the coffee industry.

  5. Coffee Equipment Manufacturers: Producers of coffee sorting or roasting equipment could incorporate this model into their devices. This would allow for real-time quality checking and sorting, making their equipment more valuable for industrial-grade coffee producers.

Use Free Benda asing, Biji berkulit tanduk and Biji berlubang 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": "Benda asing, Biji berkulit tanduk, Biji berlubang, Biji bertutul-tutul, Biji coklat"
  },
  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{ greenbeans-terang_dataset,
  title = { greenbeans-terang Dataset },
  type = { Open Source Dataset },
  author = { Percobaan1 },
  howpublished = { \url{ https://universe.roboflow.com/percobaan1-ot7ri/greenbeans-terang } },
  url = { https://universe.roboflow.com/percobaan1-ot7ri/greenbeans-terang },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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