Fritillaria Imperialis – 2 Flower Heads Variation | Image Assets
Source Type: Real world Photography
Processing Status: Unprocessed / Raw-Native
Authenticity: Natural lighting and color profile preserved
Image Type: Native JPG
Camera: Canon EOS 70D
Maximum Resolution: 5472 x 3548
Capture Location: Alanya Susuz Plateau – Turkiye
Capture Date: April 2016
Photo Count: 28
Dataset Specifications & Overview
This specialized dataset focuses exclusively on the 2-flower head variation of the Fritillaria imperialis (Crown Imperial). It provides a high-resolution visual reference for this specific botanical growth pattern, capturing the unique symmetry and structure of stems bearing exactly two blossoms.
Specific Morphology: Dedicated imagery focusing on the two-flower stem variation, essential for fine-grained botanical classification and AI model refinement.
Technical Quality: 28 high-definition photographs (5472×3548) capturing intricate details of the bells, petals, and nectar droplets.
Professional Utility: Curated specifically for computer vision projects requiring precise labeled data for morphological plant variations.
Fritillaria Imperialis 2 Flower head
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Use Cases & Visual ASSETS References
AI Training: AI Training & Research: High-quality, multi-angle datasets optimized for object detection, image segmentation, and style transfer models.
Editorial & Publishing: Professional-grade stock content tailored for botanical magazines, educational publishing, and high-end digital web projects.
Digital & Concept Arts: Ultra-high-resolution assets ideal for matte painting, photo manipulation, and concept art, providing authentic textures and lighting.
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FAQ
In what formats are Pixamin datasets offered?
All datasets are provided in high-resolution JPG or RAW formats, organized in a structured ZIP file. This organization is specifically designed for easy integration into machine learning workflows such as object detection and style transfer.
Can I use these datasets for commercial AI model training?
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Are technical metadata and EXIF data preserved in the images?
To provide environmental context for computer vision tasks, all original metadata, including ISO, Aperture, and Shutter Speed, is preserved. This allows AI models to learn from the technical specifications of each visual asset.