Finding similar images: search by similarity
Learn how to find visually similar images in Polimake. Use an image as a reference to discover related variations and alternatives.
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Similarity search in Polimake lets you find images that are visually or conceptually similar to a specific image. It's perfect for discovering variations, finding alternatives, or maintaining visual consistency across your projects.
This guide will show you how to use similarity search, when it's useful, and how to leverage it to find exactly what you need.
What is similarity search?
Similarity search:
- Uses an image as a reference to find others that are similar
- Analyzes visual characteristics such as composition, colors, objects, and style
- Finds variations of the same image or theme
- Maintains visual consistency across your projects "
" It's like having an assistant that finds images that "go well together" or are "in the same style."
How to access similarity search
From the detail view
To search for similar images:
- Open an image in detail view (click any image)
- Look for the "Similar Images" or "Similar" section
- Click to see results
Location: The similar images section appears in the detail view of each image, usually at the bottom or in a side panel.
From the context menu
Alternatively:
- Right-click an image
- Select "Find similar" or "Related images"
- Review the results that appear
How it works
Analysis of the reference image
When you search for similar images:
- Polimake analyzes the reference image
- It extracts visual and conceptual characteristics
- It compares them with all the images in your project
- It ranks them by similarity
- It shows the most similar ones first
Similarity factors
The search considers:
- Visual content: Similar objects, people, scenes
- Composition: Similar structure and layout
- Colors and style: Similar color palette and aesthetic
- Concept: Related themes and concepts
- Metadata: Similar tags and descriptions
Common use cases
Finding variations
When you have an image you like:
- Search for similar ones to find variations
- Discover alternatives on the same theme
- Find images from the same style or shoot
Example: You have a product photo that works well. You search for similar ones to find other shots of the same product or related products with a similar style.
Maintaining visual consistency
For projects that require coherence:
- Use a reference image in the desired style
- Find other images that match visually
- Maintain consistency in colors, style, and composition
Example: You're creating a catalog and want all the images to have the same style. You use a reference image and find others that match.
Discovering related content
To explore your library:
- Start from an image you're interested in
- Discover related images you didn't know you had
- Find connections between different images
Example: You have a beach photo and discover you have other related beach photos you'd forgotten about.
Finding alternatives
When you need options:
- Search for ones similar to a specific image
- Find alternatives that could work just as well
- Compare options to choose the best one
Example: You need an image for a banner. You have one option but want to see similar alternatives before deciding.
Interpreting results
Ranking by similarity
The results are shown:
- Ordered by similarity: The most similar first
- With a visual indicator: It may show a similarity score
- Grouped: Easy to compare visually
Types of similarity
You may find:
- Exact visual similarity: Same object, different angle or moment
- Conceptual similarity: Same theme or concept, different execution
- Style similarity: Same visual style, different content
- Composition similarity: Same structure, different theme
Tip: Review the first results - they're usually the most similar. If you're looking for something specific, you can refine your search.
Best practices
Use clear reference images
For best results:
- Choose images with clear, recognizable content
- Use images that represent well what you're looking for
- Avoid images that are very abstract or ambiguous
Combine it with other methods
For maximum efficiency:
- Use similarity search to find initial candidates
- Refine with semantic search if you need more options
- Use filters to limit to specific folders
Explore variations
Don't limit yourself to the first results:
- Review several pages of results if available
- Explore different types of similarity
- Discover unexpected connections between images
Limitations and considerations
Requires analyzed images
For it to work:
- The images must be analyzed (this is done automatically on upload)
- It may take time if you've just uploaded images
- Wait for the analysis to finish before searching
Subjective similarity
Similarity can be:
- Subjective: What's "similar" can vary
- Contextual: It depends on which aspects you consider important
- Variable: Different reference images can give different results
Project-specific
Similarity search:
- Searches within the current project typically
- Doesn't cross projects automatically
- Is limited to your current library
FAQ about similar images
Can I search for images similar to ones in other projects?
Currently, similarity search looks within the current project. To search in other projects, navigate to that project first.
How similar are the results?
Very similar visually or conceptually. The first results are usually the closest matches, and the similarity decreases in later results.
Can I adjust how strict the similarity search is?
Currently the search uses optimized default parameters. You can refine results using additional filters if available.
Does it work better with certain types of images?
It works best with images that have clear, recognizable content. Very abstract images or those with ambiguous content may give less accurate results.
Can I use similarity search from the gallery?
Yes, you can access it from the context menu of any image in the gallery, or by opening the image in detail view.
Do the results include the reference image?
No, the reference image is excluded from the results to show only different similar images.
Conclusion
Similarity search is a powerful tool for discovering connections in your library and maintaining visual consistency. Use it to find variations, alternatives, and related content you didn't know you had.
Combine similarity search with semantic search and organizing with folders for a complete, efficient workflow.
Next steps
- Open an image in detail view
- Explore similar images for that image
- Try it with different images to see variations
- Use it to maintain consistency across projects
- Combine it with other search methods
Discover hidden connections in your library!