All annotation is now free in Hasty

All content for project and product managers

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

How we cleaned up PASCAL and improved mAP by 13%

We cleaned up all 17.120 images of the PASCAL VOC 2012 dataset in a week using Hasty’s AI-powered QC feature. We found that 6.5% of the images in …

Vladimir Lyashenko

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

Design Article

Buy or build ML solutions

This article will look at one of the most complex decisions for most organizations starting new AI projects. Should they buy or build the software …

Vladimir

Monitor Article

How to analyze the performance of vision AI models and connect it to business metrics

Many companies want to use AI to improve specific business metrics. But how do you understand the relationship between ML metrics and business …

Vladimir

Design Article

How to organize ML teams

How do you best structure ML teams? In this article, we break down different approaches and go through the pros and cons of these approaches. …

Maulik

Development Deploy Monitor Article

Implementing the data flywheel

As the ML space is maturing, processes and best practices for what happens after you successfully manage a first project launch are becoming more …

Vladimir

Development Deploy Monitor Article

Introduction to MLOps

This introduction to MLOps is intended as an introduction to the field, it's similarities and differences compared with DevOps, and how it can help …

Vladimir

Design Article

Pricing a vision AI project part 1 : What projects are worth spending money on?

This article, the first of a four-part series, goes through the initial steps needed when getting started with AI. Specifically, we look at how to …

Vladimir

Design Article

Pricing a vision AI project part 2: Understanding the costs

In our previous article in the series, we looked at how you can prioritize AI projects and gave a quick back-of-the-napkin calculation to use for …

Vladimir

Development Deploy Monitor Article

The Frankensuite problem in vision AI

Today, there are many tools, software, and platforms that are aiming to assist AI teams in various ways. Many of them are great. However, an ML …

Maulik Chetri

Design Development Guide

The vision AI blueprint

A walkthrough on how to deliver successful vision AI projects

Tobias Schaffrath Rosario

Next
Tuple

Before discovering Hasty, labeling images was labor intensive, time-consuming, and less accurate. Hasty’s approach of training the model while labeling with faster annotate-test cycles has saved Audere countless hours.

Removing the risk from vision AI.

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