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AI-Powered Smart Labelling Engine

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Predict
Smart labeling interface showing automated bounding boxes and semantic segmentation

Let the model do the easy labels. People only check the hard ones.

A custom vision model is only as good as its labelled data, and labelling by hand is the slow, costly part. Teams spend weeks drawing boxes and outlines, and the quality still varies from person to person.

We set up an AI-assisted labelling flow. A model makes the first pass on your images or video, using zero-shot or few-shot methods so it can start with very few examples. Confident results go straight through; unclear ones are sent to a person for review. Every reviewed label is checked and versioned, so you always know which dataset trained which model.

You get a clean, versioned dataset and, if needed, a trained model with its training settings and instructions to repeat the training. For projects inside China, the data and training stay in China.

Gallery

Illustration of a cut-away house with every room and object tagged

Illustration: every object in a scene tagged with a label.

  • AI makes the first pass

    Zero-shot and few-shot methods label images and video before a person touches them.

  • People review only unclear cases

    Confident labels pass through; ambiguous ones are flagged for human review.

  • Boxes, outlines and segments

    Supports bounding boxes and detailed segmentation for complex parts and scenes.

  • Quality checks built in

    Labels go through a review and QC step before they enter the training set.

  • Versioned datasets

    Every dataset version is recorded, so any model can be traced to the data it learned from.

  • From data to model

    Collection, cleaning, labelling, training, evaluation and deployment in one chain.

  • You can retrain it yourself

    We hand over the model weights, training settings and step-by-step instructions to repeat the training on another machine.

  • Data stays where it should

    For projects in China, training runs on computing resources inside China and the data does not leave the country.

  • Results you can measure

    An offline test set plus live monitoring, so 'better' is shown with numbers.

  • You own the result

    Project results and IP are transferred to the client under the contract.

Ready to Get Started?

Contact us to discuss your specific needs and learn how we can help transform your business.

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