Case Study
We’re not a regular consulting firm. More than Data & AI suppliers, we are reliable partners. Both transparency and independence are at the core of how we work and guide the development of strong and reliable partnerships with our clients.
One of our coolest projects focused on targeting roofs on satellite imaging for a utilities customer. We were not only targeting roofs but also looking at any obstruction that might prevent the setup of solar panels or other devices - we achieved an IOU of 0.7 using a U-NET architecture, producing outstanding results in less than one month.
While having few tagged data was an issue in the past, with most state-of-art computer vision models, that is not the case.
Vision model with generalization power. Our POC ended up opening up a ton of new possibilities for our customer with few risk and investment.
Just with 60 tagged images, we were able more models: obstruction detection and to produce a really performant computer roof facing. Vision model with generalization power. Our POC ended up opening up a ton of new possibilities for our customer with few risk and investment.
Our model is based on a U-Net While having few tagged data was an convolutional architecture. With just a issue in the past, with most state-of-art couple of weeks we were able to produce a computer vision models that is not the really decent baseline for roof detection. case. During the project, we also developed two Just with 60 tagged images, we were able more models: obstruction detection and to produce a really performant computer roof facing.
01
Image tags and Model Training.
02
Checkpoint
03
Complementary model creation, north roof and obstruction.
04
Roof detection model delivered
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