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 …

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 …

Exploration of different Deep Learning model formats

There are many different ML frameworks and, as a consequence, ML formats today. In this article, we summarize popular formats in existence today and …

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 …

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 …

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 …

Using the Hasty Inference Engine API

As part of our data flywheel , you can get inference results from the model you trained using the Hasty API . We provide a way to upload an image and …

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 …

No-Code Model Building Keeping You In Full Control

We are now launching Model Playground, a model experimentation and building environment where you can train and benchmark models on your data without …

Infrastructure that is never noticed

Practical machine learning is about much more than statistics and model architectures only. Resilient and reliable infrastructure is the foundation …

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

Building a Xmas GAN

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