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CGIAR Crop Damage Classification Challenge

Helping Africa
$10 000 USD
Challenge completed almost 2 years ago
Classification
1146 joined
347 active
InfoDataChatLeaderboard
Starti
Oct 27, 23
Closei
Jan 28, 24
Reveali
Jan 28, 24
About

The data is divided into training (the `train` directory), for which labels are provided in `train.csv` and test (`test` directory) for which no labels are provided. In total the training data provided consists of ~26K images with images distributed across seasons as illustrated below.

Damage types

| Damage          | Definition          |
|-----------------|---------------------|
| DR              | Drought             |
| G               | Good (growth)       |
| ND              | Nutrient Deficient  |
| WD              | Weed                |
| other           | Disease, Pest, Wind |


Sample images from the train set

Download the image data from Google Drive HERE.

Files
Description
Files
This is a starter notebook to help you make your first submission. If the file open weirdly you can ctrl-S and it will save to your download folder.
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.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.

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