As someone who’s curious about how others organize their digital collections, I stumbled upon a great question on Reddit: what parameters do people use to tag their images?
The original poster shared their own approach, which got me thinking about the importance of tagging in general. Let’s dive in and explore the world of image tagging together!
Understanding Tagging
Tagging is about adding relevant keywords or phrases to describe an image. It helps you (and others) find specific images quickly, especially when you have a large collection. Think of it like labeling folders on your computer – it keeps things organized and easy to access.
Desirable Tags
The original poster shared their desirable tags, which include:
- Non-character tags like ‘
1girl‘, ‘year 2024‘, ‘cover page‘, ‘masterpiece‘, and ‘best quality‘ - Location or time-based data like ‘
beach‘, ‘summer‘, or ‘morning‘
These tags provide context about the image, making it easier to find later.
Undesirable Tags
On the other hand, undesirable tags highlight flaws or aspects of an image that might be less desirable. Examples include:
- ‘
Realistic‘, ‘displeasing‘, ‘bad quality‘, or ‘blurry‘ - ‘
Artistic error‘, ‘film grain‘, or ‘scan artifacts‘
These tags can help you identify and filter out images that don’t meet your standards.
Tips and Thoughts on Tags
Here are some takeaways and additional tips:
- Be specific: Use specific keywords that describe the image, like ‘
cityscape‘ or ‘portrait‘ - Use a mix of general and specific tags: Combine broad tags like ‘
landscape‘ with more specific ones like ‘mountain‘ or ‘sunset‘ - Keep it consistent: Establish a consistent tagging system to make it easier to find and organize your images
- Experiment and adapt: Try out different tags and see what works best for you and your collection
What are your thoughts on image tagging? Do you have any favorite tags or systems that work for you? Share your experiences in the comments below!
Further reading: Image Tagging Best Practices