Back to the articles

Supercharge your Image Segmentation Labeling with Superpixels 2.0

October 22nd, 2021 - 1 min -
Avatar photo
-

Manually segmenting images using traditional tools requires painstaking precision, making the data labeling process painfully slow, error-prone, and labor-intensive. Many computer vision projects require a large dataset of accurate segmentation labels.

At Segments.ai we’ve developed an ML-powered labeling tool called Superpixels to make image segmentation labeling faster and more accurate.

Introducing Superpixels

Traditional image segmentation tools like the brush and polygon tool are slow and cumbersome. Enter Superpixels, Segments.ai’s ML-powered data labeling tool that simplifies and accelerates image segmentation labeling.

When you select the Superpixel tool, your image is instantly divided into coherent regions called superpixels. You can easily change the granularity of the superpixels by moving a slider or scrolling with your mouse, giving you precise control over the level of detail in your segmentation. Simply click on a superpixel to label the corresponding region.

Superpixels 2.0: ML-powered technology

What sets our Superpixel feature apart from other solutions is the ML-powered technology on which it’s built.

The traditional approach is to cluster pixels together based on color similarity. This works well for objects with clear boundaries and distinct colors but struggles with more complex scenes.

Segments.ai’s Superpixel tool leverages machine learning models trained on a large variety of image data. These models can identify edges and boundaries and recognize shapes, enabling them to segment complex objects accurately even if their color blends with the surroundings.

Furthermore, the Superpixel tool is designed to be fast. All processing is done when the image is first uploaded, eliminating the need for network requests during labeling. This ensures a smooth and uninterrupted user experience.

Label objects in one click

Superpixels can drastically speed up the annotation process, often allowing users to label entire objects and regions in just one click.

If the superpixels do not perfectly align with the object boundary, you can seamlessly switch between the Superpixel tool and the brush, polygon, or Autosegment tools to fine-tune your segmentation masks. This flexibility ensures you get the best of both worlds – efficiency and accuracy.

Try it today

Don’t just take our word for it—try it out for yourself! We offer a free trial, so you can try our Superpixel technology firsthand.

Share this article