Introducing Image Similarity Search: Find What Matters, Faster

Discover Image Similarity Search—a powerful new feature designed to help you discover rare cases, improve your data models, and get more value from your autonomy datasets.

 

How Image Similarity Search Works

Image Similarity Search uses CLIP embeddings to find the 16 nearest neighbors to any selected object in your dataset. This makes it fast and easy to identify similar objects, understand their frequency, and make informed decisions about how to handle them—whether that means annotating, filtering, or prioritizing for model training.

For teams working with autonomous driving and active safety systems, rare events and edge cases can make or break model performance. Image Similarity Search helps you find these critical scenarios without manual searching.

Similarity Search

Get More Annotated Data for Your Budget

At Kognic, our promise is simple: Get the most annotated autonomy data for your budget. Image Similarity Search supports this by helping you work smarter—directing human attention to the data that matters most, rather than spending time searching manually.

By quickly surfacing similar objects and rare cases, you can:

  • Reduce time spent on data curation
  • Focus annotation efforts on high-value scenarios
  • Improve model performance by ensuring edge cases are properly represented

Real-World Use Cases

Here's how Image Similarity Search helps autonomy teams solve real problems:

  1. Discovering Missed Detections: Quickly identify objects your model may have overlooked, such as vehicles in challenging conditions or pedestrians in low-visibility scenarios.
  2. Finding Specific Object Types: Locate rare but important objects like delivery riders, construction workers, or vehicles you're about to overtake—all critical for safety-critical systems.

Similarity Search 2

Availability

Image Similarity Search is now available for 2D images. We're continuously exploring ways to extend this capability to 3D data as well.

Machines Learn Faster with Human Feedback

Image Similarity Search is part of Kognic's vision to integrate scalable, cost-efficient human feedback into your data pipelines. By helping you find what matters faster, we enable you to train and validate autonomous systems that are safe, reliable, and aligned with human expectations.

Ready to discover more in your datasets? Start using Image Similarity Search today.