Video Annotation Platform To Label 10X Faster
With Labellerr’s AI-assisted video labelling platform, perform object tracking, segmentation and detection with ease.
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Designed for Precision
From semantic segmentation to creating your own custom annotation,
Labellerr ensures your data is always model-ready.
Easily apply semantic segmentation to your video data. Label every pixel in a frame, from key objects to background elements, and ensure your models capture every detail.
Easily apply semantic segmentation to your video data. Label every pixel in a frame, from key objects to background elements, and ensure your models capture every detail.
Built to Scale with You
Label and track key points on objects, such as joints or landmarks, to capture complex movements and poses.
Label objects with complex or irregular shapes by creating custom, multi-point boundaries.
Precisely label linear structures like roads or pipelines by drawing parallel lines in each video frame using lane annotation.
Annotate specific points of interest within an object, such as facial landmarks, joints, or object corners.
Identify and label objects with hollow spaces like rings or tires that can’t be accurately captured with simple shapes.
Labellerr allows ML teams to combine annotation methods to create custom video training datasets for specific needs.
Supervise Annotation Project With Advanced Analytics Dashboard
Manage image annotation ptoject with comprehensive dashboard to track progress and quality.
Track time spent per file, annotation completed and accuracy in real time for each annotator.
Add consensus between annotator to automatically improve the accuracy, model assisted QA and more.
Export of Data
Create a batch run on your data import/export with cloud
and save time.
