The data challenge revolves around Lossy Neural Compression for Geospatial Analytics. Specifically, we ask you to develop an encoder to compress SSL4EO-S12 data cubes down to 1024 features, a.k.a. embeddings, that we evaluate on a hidden set of applications, a.k.a. downstream tasks as in the literature of foundation models.
You will have three weeks in March 2025 to develop your encoder and test the quality of your embeddings by interacting with this challenge portal Eval.AI submitting embeddings for data available at HuggingFace. The 1st week of April will allow you three submissions in three days based on a separate dataset made public on HuggingFace two days before. This phase determines the final leaderboard and challenge winner who will present their solution at the workshop in Nashville, TN, USA.
