Rose Flowers Dataset

Rose Flowers Dataset

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Rose Flowers Dataset

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Rose Flowers Dataset

Use Case

Rose Flowers Dataset

Description

Discover a comprehensive dataset of over 1000 high-resolution images of red and yellow roses, ideal for machine learning.

Rose Flowers Dataset

Description:

This dataset features high-resolution images of red and yellow roses, captured over the years. While the primary focus is on red and yellow roses, a few other colors are included. The images are in their original form without any software edits.

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Content

  • Total Images: 1000+
  • Resolution: High-resolution images suitable for detailed analysis.
  • Colors: Predominantly red and yellow roses, with a few images of other colors.
  • Format: JPEG and PNG formats for compatibility and ease of use.
  • Annotations: Includes metadata such as date and location of capture, rose type, and color variations.
  • Use Cases: Ideal for training machine learning models for flower recognition, horticultural research, and visual art projects.

Additional Features

  • Natural Variations: Images showcase natural lighting and environmental conditions, enhancing the dataset’s real-world applicability.
  • Diverse Locations: Photographs taken in various settings, including gardens, parks, and wild environments.
  • Unedited: Original captures to preserve authenticity and provide raw data for algorithm training.

Applications

  • Machine Learning: Train models for flower classification and recognition.
  • Horticulture: Study the variations and characteristics of rose species.
  • Visual Arts: Source material for artists and designers working with floral themes.
  • Education: Teaching resources for botany and computer vision courses.

This dataset is sourced from Kaggle.

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