Rose Flowers Dataset

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.