AI-Based Satellite Image Land-Use Classification for Urban Planning

Entreprise partenaire — révélée une fois votre stage confirmé

Compétences recherchées

Sujet du stage

Understanding how land is actually used across a city, at scale, from satellite imagery — a computer vision project with real urban-planning relevance. What you'll work on : • Integrate a pretrained semantic segmentation model for land-use classification • Apply the model to a sample set of satellite images across a city area • Visualize classified land use on an interactive map What we're looking for : • Academic or hands-on experience with React/Next.js is a plus. • Familiarity with Pretrained Semantic Segmentation is a plus. • Initiative and a sharp eye for detail. What you'll get : • A dedicated computer-vision technical mentor, with follow-up based on your progress report • A concrete product-facing use case • Completion certificate based on how far you get • Most engaged candidates may be recommended for pre-hire or job opportunities