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All annotation is now free in Hasty.

Resources

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 …
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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 …
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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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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 …
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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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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 …
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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 …
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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.
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Buy or build ML solutions

This article will look at one of the most complex decisions for most organizations starting new AI projects. Should …
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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 …
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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 …
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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 …
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%.

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