Amini GeoFM Decoding the Field Challenge
Helping Africa
$8 500 USD
Completed (8 months ago)
Classification
798 joined
153 active
Start
Jun 10, 25
Close
Jul 20, 25
Reveal
Jul 21, 25
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Seeking clarification on Datasets, Models and Efficiency
Data · 19 Jun 2025, 09:23 · 8
Band Aggregation
How were the Sentinel-2 bands preprocessed? Were the pixel time-series aggregated using statistics like mean, median, or other temporal summarization methods?
Model Usage Constraint
Are we strictly required to use only PRESTO and Amini Earth FM, or are we allowed to use other models in combination
Efficiency Prize Criteria
What does "Most efficient solution in the top 10" mean?
Is it based on model size, inference time, resource usage, or a specific combination?
Use of Related Open Datasets
Can we use the Côte d’Ivoire Byte-Sized Agriculture Challenge Sentinel-2 data?
@AmyBray please clarify these concerns, specifically if we can use these models in combination with others
Seems we can use other models, but still clarification is needed if we can create other features on top of the extracted embeddings, or we are only allowed to use only embeddings extracted from the two models
The only limitation is you can use the two listed models.
Thanks for the clarification, @Jackline.
Just to confirm:
Appreciate your guidance!
Yes, the notebook was a guidance on one way to use the Model, you can use other classifiers, finetune the model etc.
Got it, thanks for confirming!
@Amy_Bray
Please also clarify how the Sentinel-2 bands in test.csv were scaled?
A quick summary shows that band values range from 0 up to about 3.2. That range is well below the raw 0 – 10 000 DN scale, yet above the usual 0 – 1 surface-reflectance range, so we’re unsure whether these numbers are:
Knowing the exact divisor (e.g., 10 000, 4 096, etc.) will help us avoid double-scaling when we feed the data into PRESTO or Amini Earth FM.
Thanks a lot!
hey only scaling was done, of factor 0.0001