NEW
CloudFactory has acquired Hasty.ai to offer a complete end-to-end Vision AI solution

Articles

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Reduce your data labeling needs 70% by using Active Learning

Hasty is now launching Active Learning for labeling. With it, our algorithms review all possible images you can label …

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Further Pascal VOC 2012 exploration and plans for the future

Our PASCAL VOC 2012 cleansing post was successful, so we did some follow-up experiments to explore the field a bit …

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Using VisionAI for Getting to Know Guillemots, the Seabirds Telling Us about the Future

How the Bangor University in Wales uses Hasty to analyze climate change's effect on maritime eco systems.

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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 …

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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 …

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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.

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The modern AI workforce part 2: In-house or outsource?

A walkthrough on the costs, benefits, and risks of outsourcing annotation work. We also give you our recommended …

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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 …

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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 …

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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 …

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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. …

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Panoptic Segmentation Explained

A more holistic understanding of scenes for computer vision

  • "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."

    Jenny Abrahamson

    Software Engineer at Audere
  • "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."

    Dr. Alexander Roth

    Head of Engineering at Bayer Crop Sciences
  • "Modern tools like Hasty are very accessible for everyone at Element Six to harness the power of AI with a relatively low investment"

    Tanmay Rajpathak

    Applications engineer at Element Six
  • "Because of Hasty, PathSpot has been able to accelerate development of key features. Open communication and clear dialog with the team has allowed our engineers to focus. The rapid iteration and strong feedback loop mirrors our culture of a fast-moving technology company."

    Alex Barteau

    Senior Computer Engineer at PathSpot Technologies
  • "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!"

    Shane Prukop

    CEO at TruPart Manufacturing

Removing the risk from vision AI.

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