Gemstones Images Dataset

Description: Classes: 87 distinct Gemstones Images Dataset 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. Download Dataset 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.