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.
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