Object Detection

BlackBG Computer Vision Project

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Here are a few use cases for this project:

  1. Quality Control in Rice Production: Use "BlackBG" to automatically scan rice during production, packaging, or post-harvest processing. Identify undesirable rice grains such as broken, immature, damaged, or discolored, and sort them out to improve the overall quality of the final product.

  2. Precision Agriculture: Integrate "BlackBG" into agricultural machinery or drones to monitor rice crops during growth, identify signs of stress or disease (e.g., dense areas of red grains or blacktip), and apply targeted treatments or interventions to optimize crop yield and quality.

  3. Food Safety Inspection: Utilize "BlackBG" for detecting foreign material, both organic and inorganic, in rice samples. Help inspectors quickly identify potential contaminants or safety hazards, enabling a more efficient and thorough inspection process.

  4. Consumer Applications: Develop an app or device based on the "BlackBG" model for home or small business use, allowing consumers to assess the quality of rice they purchase or produce. Empower them to make informed decisions about their rice consumption or storage practices.

  5. Educational Tool: Implement "BlackBG" in e-learning platforms, agricultural training programs, and research institutions to teach students about different rice classes and their characteristics. Enhance learning experiences and provide a practical, cutting-edge resource for students studying agriculture, biology, or food science.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

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

@misc{ blackbg-lnenw_dataset,
    title = { BlackBG Dataset },
    type = { Open Source Dataset },
    author = { Rice },
    howpublished = { \url{ https://universe.roboflow.com/rice-rwmyq/blackbg-lnenw } },
    url = { https://universe.roboflow.com/rice-rwmyq/blackbg-lnenw },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { oct },
    note = { visited on 2023-12-09 },

Find utilities and guides to help you start using the BlackBG project in your project.



Last Updated

a year ago

Project Type

Object Detection




Blacktip, Broken, Chalky, Damaged, Dehusked, Healthy-1211, Immature, Inorganic Foreign Material, Organic Foreign Material, Red Grain

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CC BY 4.0

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