A Comprehensive High-Resolution Dataset for Analyzing Craniofacial Features Syndrome: Images for Feature Detection.

This dataset contains-resolution images, specifically curated for craniofacial feature detection and analysis in Goldenhar Syndrome (GA). Images are uniformly resized to 640x640 pixels and preprocessed with auto-orientation and histogram equalization to enhance contrast for improved feature detection. This dataset is an essential resource for researchers in craniofacial analysis, machine learning, and syndrome-specific diagnostics. It supports advancements in automated feature detection and clinical applications for GA. Its carefully curated structure and rich annotations make it suitable for academic research and real-world applications in automated craniofacial analysis.