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Dried fish dataset for Indian seafood: A machine learning application.

Priyanka Paygude1, Milind Gayakwad1, Dhanashri Wategaonkar2

  • 1Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.

Data in Brief
|June 24, 2024
PubMed
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This study introduces a dataset of 8290 images for machine learning, focusing on five popular Indian dried fish varieties. This resource aids in developing AI for quality control and standardization in the dried fish industry.

Area of Science:

  • Computer Science
  • Agricultural Science
  • Food Science

Background:

  • Traditional fish drying is crucial for income in Indian coastal communities, preserving catches and ensuring year-round availability.
  • Existing challenges in the dried fish industry include standardization, quality control, and safety.
  • Machine learning offers potential solutions for improving efficiency and product quality in seafood processing.

Purpose of the Study:

  • To create a comprehensive dataset of 8290 images for machine learning applications in the Indian dried fish sector.
  • To facilitate the identification and classification of five key dried seafood varieties: prawns, small anchovies, golden anchovies, mackerel, and Bombay duck.
  • To support advancements in quality control, standardization, and safety within the Indian dried fish industry through AI.
Keywords:
Dried fish classificationDried fish datasetDried fish detectionMachine learning

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Main Methods:

  • Collected and curated a dataset of 8290 high-quality images featuring five popular Indian dried fish types.
  • Images were captured under standardized lighting, background, and object pose conditions.
  • Dataset includes both single and bulk images for each fish category to ensure diversity and robustness.

Main Results:

  • A diverse and standardized dataset suitable for training machine learning models is now available.
  • The dataset enables the development of AI-powered tools for accurate dried fish identification and classification.
  • This resource supports research and development for practical applications in the Indian dried fish market.

Conclusions:

  • The Dried Fish Dataset for Indian Seafood is a valuable resource for advancing machine learning applications in the industry.
  • Leveraging this dataset can lead to improved quality control, safety standards, and overall efficiency.
  • This initiative empowers researchers and data scientists to innovate within the Indian dried fish processing sector.