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GroundWork Launches Campaigns
Need to create a training dataset that contains multiple images? GroundWork launches “Campaigns” to help you handle large datasets for machine learning.
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Managing Data Labeling for Machine Learning Projects
Responsible for the data labeling for a machine learning project? Here are some insights we’ve developed while managing data labeling for machine learning.
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3 Tips to Optimize Your Machine Learning Project for Data Labeling
Mining the knowledge and expertise of your data labeling team will improve the data quality of your machine learning project and increase your team’s productivity.
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Image Classification Labeling: Single Class versus Multiple Class Projects
When labeling for image classification is it faster to complete projects with single or multiple classes? We ran an experiment to find out.
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Notifications over Websockets with Http4s and Skunk
In an attempt to avoid relying on polling in a front-end application or third-party services, we attempt servicing asynchronous notifications over websockets using only PostgreSQL and Scala.
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Can AI Reduce Harm to Children?: Gabriel Fernandez and the Case for Machine Learning
Could AI have saved Gabriel Fernandez’s life? Data and social scientists argue that machine learning might have kept him alive. What exactly is this potentially life-saving AI? Learn more about predictive risk modeling, how governments currently use similar AI, and the ethical questions such work raises.
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Labeling Satellite Imagery for Machine Learning
Definitions and visuals of the most common ways to label satellite imagery for machine learning. Includes tips for managing annotations for each type.
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Join the OpenCities AI Challenge and Detect Building Footprints from Aerial Imagery
We partnered with Driven Data and the World Bank to develop the Open Cities AI Challenge. This challenge uses machine learning to extract building footprints in unmapped areas to promote disaster resilience.
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3 Ways to Analyze the Results of a Supervised Machine Learning Model
How accurate are our supervised machine learning models and what are they really doing? We offer 3 tips to help you better understand these models.
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