Gemstones Images Dataset

Gemstones Images Dataset

Datasets

Gemstones Images Dataset

File

Gemstones Images

Use Case

Gemstones Images

Description

Explore our high-quality Gemstones Images Dataset featuring over 3,200 images across 87 distinct gemstone classes. Perfect for classification tasks, computer vision projects, and e-commerce applications.

Gemstones Images Dataset

Description:

  • Classes: 87 distinct gemstone classes for accurate classification
  • Context: This dataset aims to assist algorithms in distinguishing between various gemstones, such as ruby, amethyst, and emerald, by providing labeled images.
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Content:

  • Overview: The dataset comprises over 3,200 high-quality images of gemstones, organized into 87 classes. These images are pre-sorted into training and testing sets, facilitating easy implementation in machine learning projects.
  • Details:
    • Shapes Included: The images capture gemstones in various shapes including round, oval, square, rectangle, and heart.
    • Structure:
      • Train Folder (~56 MB): Contains 87 subfolders, each representing a different class, with approximately 2,800 images in .jpeg format.
      • Test Folder (~8 MB): Also contains 87 subfolders, with around 400 images in total, ensuring a balanced test set for evaluating model performance.
  • Use Cases:
    • Classification Tasks: Ideal for training classification models to identify gemstone types.
    • Computer Vision Projects: Suitable for projects requiring detailed image analysis and pattern recognition in diverse shapes and colors.
    • E-commerce Applications: Can be used to develop systems for automatic gemstone recognition and cataloging in online marketplaces.

Additional Information:

  • File Formats: All images are provided in .jpeg format, ensuring compatibility with various image processing tools.
  • Data Quality: Images are carefully labeled and curated to maintain high quality and relevance.

This dataset is sourced from Kaggle.

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