Primary competition visual

Amini Canopy or Crop Challenge

Helping West Africa
3 000 Points
Challenge completed 7 months ago
Classification
Earth Observation
355 joined
80 active
Starti
Jan 17, 25
Closei
Mar 30, 25
Reveali
Mar 31, 25
About

To support this challenge, we’ve curated a dataset from specific areas of interest (AOIs), ensuring that each AOI is exclusively in either the training or testing set.

  • For each pixel within an AOI, you'll receive 13 bands of Sentinel-2 data, captured over a 3-year period.
  • The inclusion of 3 years of data reflects the growth cycle of cocoa crops, plam plantations and forests which mature over multiple years, unlike common annual crops.

Your objective is to predict whether a given pixel corresponds to cocoa crops, palm plantation or forest cover.

For additional information about Sentinel-2 bands and their applications, refer to this guide: Sentinel-2 Bands and Combinations.

Files
Description
Files
This notebook will get you into the 0.90 scores. We hope you learn from it!
Slides for the 3rd Zindi/Amini webinar.
M&M's winning solution.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
Train contains the target. This is the dataset that you will use to train your model.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
This is a starter notebook to help you make your first submission.