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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

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

Deploy Development Article

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 …

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

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

Development Deploy Article

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 …

Mihail

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

Development Deploy Article

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 …

Alex Wennman

Design Article

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 …

Andriy Borodiychuk

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

Next
Tuple

Hasty has taken our data labeling to the edge. Both semantic and bounding box labeling has gone from weeks or months on our large data sets to days. For QA, I just reviewed 19,000 labels in 5 hours. WTF!

Removing the risk from vision AI.

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