All annotation is now free in Hasty

All content for annotators

Development Article

Whatever you are paying for labeling is too much

As the first company globally, we are making all labeling features completely free to use, including our best-in-class automation features. Our goal …

Alex Wennman

Development Article

Bringing active learning, model explainability, and Bayesian networks to Hasty with the help of ProFit

How we plan to use active learning further to improve the automation and effectiveness of machine learning tasks.

Lisa Wäntig

Development Article

The first completely free one-click segmentation tool

We are releasing a new, free feature that allows you to annotate in one-click. Read more about how it works and how you can try it here.

Alex Wennman

Design Development Article

How to nail your annotation strategy

A guide to finding the right approach for your use-case.

Tobias Schaffrath Rosario

All stages User documentation

Accessing Model Playground

Hasty provides a no-code solution to train models that solves a variety of tasks ranging from semantic segmentation to object detection. For further …

Development User documentation

AI assistants

AI assistants are what we call our AI tooling that you can use to automate parts - or all - of your annotation work. The concept behind them is …

Development User documentation

ATOM segmenter

ATOM is a an AI-powered segmentation tool that can be used both for instance and semantic segmentation. It is available from the start of every …

Development User documentation

Automated labelling

Automated labelling is a way for you to batch-process images in your project. Essentially, you take a model used in your project (Object Detection …

Development User documentation

Bounding Box

Most object detection tasks that are done today are done through the use of bounding boxes. Marking out an object by putting a rectangle over it is a …

Development User documentation

Box to Instance

The origins of Box to Instance were a couple of companies coming to us and saying they had large datasets with bounding boxes that they needed to …

Development User documentation

Brush and Eraser

The Brush and the eraser tools are used to create (using the brush) and remove (using the eraser) masks or to edit masks. Masks is what we we call …

Development User documentation

Class Predictor Assistant

The class predictor tool is the first of our AI powered features to kick in on a project. The goal of this assistant is to remove the need to specify …

Tuple helped us improve our ML workflow by 40%, which is fantastic. It reduced our overall investment by 90% to get high-quality annotations and an initial model.

Removing the risk from vision AI.

Only 13% of vision AI projects make it to production, with Hasty we boost that number to 100%.