Classifying Finnish forest and mire types with Tessera embeddings using tessera-eval

2026-09-29 · Silja Sormunen

The Python library tessera-eval, from the University of Cambridge Tessera team lets users train a model on Tessera embeddings easily and quickly. In this demonstration, Silja Sormunen uses tessera-eval's command-line tool to classify forest and wetland types across a region of northern Finland.

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