Case Study: Sylvera boosts carbon-offset transparency with CloudFactory's customized annotation solution

Sylvera annotates 25x larger than London in 2 months with CloudFactory

Sylvera, a climate tech startup, needed to accurately verify the performance of carbon-offsetting projects by tracking mangroves over time using satellite imagery. Their challenge was the immense task of creating a highly customized training dataset, which required precise semantic segmentation that off-the-shelf annotation platforms could not provide. They turned to CloudFactory and its Computer Vision Managed Workforce for a solution.

CloudFactory implemented a customized annotation solution, integrating specialized tools and using a dedicated, trained workforce to perform semantic segmentation on the satellite images. In just two months, CloudFactory helped Sylvera annotate an area nearly 25 times larger than London, saving an estimated 500 hours of work and enabling the successful training of a highly accurate deep learning model.

Sylvera