All content for data scientists and ML engineers

Design Article

The modern AI workforce part 1: Why you need expert annotators

Going through the need for expert annotators and how you can minimize the cost of having expensive experts annotating for you.

Vladimir

Development Article

Using Computer Vision to Identify Critical Anatomy in Surgical Images

Find out how the Stanford Medical AI and Computer Vision Lab (MARVL) used Hasty to create the largest dataset containing images taken following …

Julia Gong

Development Article

The first end-to-end vision AI platform with truly automated data cleaning capabilities

Clean your data 35x cheaper using Confident Learning instead of Consensus Scoring.

Alex Wennman

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

Development Deploy Monitor Article

Uncovering hidden biases in your data

This post is a hands-on guide on how you can use Hasty's tooling to de-bias your data.

Tobias Schaffrath Rosario

Design Development Article

How to nail your annotation strategy

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

Tobias Schaffrath Rosario

Development Article

Building the data flywheel to overcome data shift

How companies like Tesla and Amazon make sure that their ML-models in production adapt to ever-changing environments

Tobias Schaffrath Rosario

Development Article

Building a Xmas GAN

Here's a fun little side project about training a GAN to Christmasify images.

Hasnain Raza

All stages Article

We need "Agile" in machine learning

It’s time for a non-linear, iterative approach that builds highly performant vision AI applications.

Tobias Schaffrath Rosario

Development Article

Levels of annotation automation

This post is a high-level exploration of the most common ways of implementing image-based deep learning (often referred to as image-based Artificial …

Tristan Rouillard

Development Deploy MP Wiki

Accuracy

The accuracy is the overall percentage of predictions without errors. It's derived from the confusion matrix . Accuracy used for multi-label …

Deploy Development MP Wiki

Adadelta

Adadelta was proposed with the aim to solve the diminishing learning rate problem that was seen in the Adagrad. Adagrad uses the knowledge of all the …

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Tuple

Hasty.ai 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.