Need to create a training dataset that contains multiple images? GroundWork launches “Campaigns” to help you handle large datasets for machine learning.
Need to create a training dataset that contains multiple images? GroundWork launches “Campaigns” to help you handle large datasets for machine learning.
Azavea partnered with Facebook and Ladysmith to make an engaging platform that makes data from a massive gender survey actionable.
2020 was awful. Who was accessible changed radically. We, and the people around us, by necessity took on different roles. Including at work.
Grantmaking organizations are often asked to fund software development, but are unsure of how to evaluate the scope, budget, or potential impact of these types of projects. We created this list of the key questions to ask when evaluating a software development proposal.
We chatted with the Open Apparel Registry team about how open data and open source are becoming a larger part of the apparel industry.
Raster Vision is the interface between the fields of earth observation and deep learning, making it easier to apply novel computer vision techniques to geospatial imagery of all types. Joe lays out how it can be implemented in your organization and give you a competitive advantage.
Without taking on copious outside investment, we have to support our products with only a share of our available time and resources. Here are five strategies we use to build successful bootstrapped products.
A major part of how Azavea pursues its mission is tied to how we select our projects. As our work on Earth observation imagery has grown, we felt it was time to develop a guideline around a new industry: energy.
Conferences are great for a variety of reasonsโgetting exposed to cool up-and-coming technologies, connecting with old friends, and doing recruiting and business development. For the last few years, Iโve been a co-organizer for Philly Emerging Technologies for the Enterprise (ETE)โa fantastic developer-focused conference that has run in Philadelphia for fourteen years. While ETE was planned…
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.