Summary:
Requesting a feature to sort images based on overall brightness, leveraging AI to analyze light distribution across the entire photo—not just exposure settings. Additionally, we propose incorporating flash metadata to refine the sorting criteria by flash usage (e.g., flash fired, no flash).
Details:
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Sort by Overall Brightness (AI):
An AI-driven algorithm that evaluates total light in the image, factoring in exposure, shadows, highlights, and mid-tones to provide a comprehensive brightness score. This goes beyond basic exposure values to give photographers control over sorting photos by the actual perceived light levels.
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Sort by Flash Metadata:
Integrate flash metadata as a filter option. Users should be able to sort images based on whether flash was used, with additional options like:
- Flash Fired: Images where flash was triggered.
- No Flash: Images captured without flash.
- Auto Flash: Sort by auto flash trigger events for better categorization.
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Sort by "Dark" or "Light" Themes:
Allow users to quickly filter or sort based on dominant lighting themes, helping to locate low-light or high-brightness images for editing, project consistency, or thematic purposes.
Use Cases:
- Find Low-Light Shots: Quickly locate darker images for creative projects or when dealing with underexposed conditions.
- Identify Flash-Triggered Shots: Easily find images where flash was used to separate from ambient lighting conditions.
- Streamline Photo Selection: Simplify the workflow by grouping bright and dark photos for specific needs, such as bright outdoor shots or low-key portraits.
Impact:
This feature would significantly enhance efficiency by enabling precise organization of images based on lighting conditions and flash usage, improving the ability to match aesthetic goals or technical requirements.