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Amini Cocoa Contamination Challenge

Helping Ghana
$7 000 USD
Completed (10 months ago)
Computer Vision
Object Detection
922 joined
255 active
Starti
Feb 14, 25
Closei
May 11, 25
Reveali
May 12, 25
About

The data is from Makerere Artificial Intelligence Lab in Uganda, Nelson Mandela African Institute of Science and Technology in Tanzania, KaraAgro AI Foundation in Ghana and Namibia University of Science and Technology in Namibia.

You have been provided with an image dataset that includes images of cocoa plants.

Each image in the training set is annotated with bounding boxes indicating the presence and type of diseases. The training set contains images where multiple diseases might be present, each annotated separately.

The test set introduces images that may contain new diseases not present in the training set, and the bounding boxes are removed.

Each image in the training set is annotated with bounding boxes indicating the presence and type of diseases. The training set contains images where multiple diseases might be present, each annotated separately.

The test set introduces images that may contain new diseases not present in the training set, and the bounding boxes are removed.

Files
Description
Files
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.
This folder contains all the images for train & test.
This is a starter notebook to help you make your first submission.