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iPhone 17 Pro (Silver) - Multi-Elevation 360° Synthetic Dataset
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High-fidelity synthetic dataset designed for training Computer Vision, NeRF,
3D Gaussian Splatting, and Spatial Computing models.

? DATASET FEATURES:
• 407 Total Frames: Lossless 16-bit PNG (RGBA)
• 100% Alpha Transparent Backgrounds: Ready for data augmentation
• Color-Unbiased Lighting: Soft studio array with realistic glass Fresnel
• Camera Setup: Fixed 0.38m distance with a sharp 50mm focal lens

? ORBITAL STEP MATRIX:
• 11 Vertical Elevations: [-90°, -60°, -45°, -30°, -15°, 0°, 15°, 30°, 45°, 60°, 90°]
• Horizontal Orbit: Exact 8-degree steps (45 frames per full 360° loop)
• Poles Optimized: Absolute top and bottom angles captured as single frames

? AI-READY METADATA INTEGRATION:
• dataset_metadata.json (Root): Standard nested arrays with 4x4 camera matrices.
• metadata.jsonl (/images): Ingestion-ready format for the Hugging Face Hub.

? FOLDER CONTENTS:
• /images (407 sequentially named PNG files)
• /images/metadata.jsonl (Hugging Face database tracking log)
• /dataset_metadata.json (Master 4x4 world coordinate sheet)
• /README.txt (Hardware config and setup guide)