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

Resources

The definitive guide to Panoptic Segmentation
Articles

The definitive guide to Panoptic Segmentation

A more holistic understanding of scenes for Computer Vision

How to control the quality of your Instance Segmentation annotations with an AI-powered QC feature offered by Hasty?
Videos

How to control the quality of your Instance Segmentation annotations with an AI-powered QC feature offered by Hasty?

How to streamline your Instance Segmentation labeling experience with Hasty.ai
Articles

How to streamline your Instance Segmentation labeling experience with Hasty.ai

How to streamline your Object Detection labeling experience with Hasty.ai
Articles

How to streamline your Object Detection labeling experience with Hasty.ai

How to reduce labeling effort and increase automation in Object Detection
Articles

How to reduce labeling effort and increase automation in Object Detection

We built a model that detects whether construction workers in the images wear helmets or not. To do so, we used the …

How to speed up your Instance Segmentation task with Hasty
Articles

How to speed up your Instance Segmentation task with Hasty

We gathered a dataset of 378 medieval paintings and labeled all the adults and children using the Hasty features. In …

Reduce your data labeling needs 70% by using Active Learning
Articles

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 …

Overview of public datasets for vision AI tasks in agriculture
Articles

Overview of public datasets for vision AI tasks in agriculture

We researched the agriculture datasets field and found nine public datasets you can use for your precision agriculture …

Further Pascal VOC 2012 exploration and plans for the future
Articles

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 …

Whatever you are paying for labeling is too much
Articles

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 …

How we cleaned up PASCAL and improved mAP by 13%
Articles

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 …

Bringing active learning, model explainability, and Bayesian networks to Hasty with the help of ProFit
Articles

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.

  • audere

    "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
  • bayer

    "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
  • element-six

    "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
  • pathspot

    "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
  • trupart

    "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

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