Label 2D images & sequences quickly
Label objects and regions quickly and accurately. Segments.ai gives you access to ML-assisted automation tools like Superpixel 2.0 and Autosegment.
We support:
Segments.ai’s Superpixel tool for image segmentation boosts our labeling efficiency significantly. The workflows, Python SDK, and webhooks have been game changers for us. The platform is now seamlessly integrated with our active learning pipeline.
Andres Milioto
Senior Computer Vision Engineer
Author of SemanticKITTI and RangeNet++
Get more precise image segmentation
Superpixel 2.0 takes the traditional Superpixel approach and uses ML models to recognize shapes, rather than relying on the color of nearby pixels.
Perfect for autonomous driving and robotics use cases, the models will give you more precise and accurate segmentation of images.
Automatically segment small and fine objects
When you need to segment small objects or high resolution images, Autosegment is here to help.
Draw a box around the object you want to label, and Autosegment will generate a segmentation mask for the foreground element in the box. It’s a perfect complement to the Superpixel technology.
Segment images with a single click
Built upon a massive dataset of over 11 million images, the Segment Anything Model (SAM) integration lets you segment any object in a single click.
Just hover your mouse over the image to view the suggested segmentation masks, then click the one you want.
Increase speed with your own ML models
Save hours in the data labeling process and improve the quality of your labels at the same time.
Upload your model predictions to create new labels, then use smart labeling tools to correct any errors in the predictions.
Choose the label type that works best for your project
Choose whether you want to label your images using segmentation masks, vector labels, or bounding boxes — and how you want to view and export your labeled data.
Segments.ai lets you easily switch between the instance or semantic view of your labeled data so you can see it from different perspectives. You can also export the data as instance, semantic, or panoptic segmentation labels.
Need a different export format? Segments.ai supports multiple common export formats, allowing you to integrate your labeled data with other tools and platforms easily.
Track objects across frames
Easily track an object’s movements and actions, even as it moves in and out of the frame or changes its appearance.
Segments.ai lets you assign a unique identifier to each object in a sequence, then tracks it across frames so you have a record of its movements.
Limit the number of bounding boxes you have to draw
Speed up bounding box labeling by automatically interpolating box position and dimensions between keyframes.
Skip a few frames before editing your bounding box, and Segments.ai will automatically update the annotation in the missing frames for you.
There’s a lot more that you can do
Segments.ai helps machine learning teams and data engineers move from POC
to production faster, and at scale. Get in touch today to hear about all the neat labeling features available.
Labeling on Segments.ai is so quick and simple. Plus, the documentation is very good. It does everything we need, so we don’t have to worry about it.
Libor Novak
Software Engineer
Cartken
Labeling Services
If you’re ready to outsource your labeling, we’re here to help.
Reach out today, and we’ll connect you with one of our trustworthy labeling partners.
A few of the labeling agencies we work with
