Primary competition visual

IndabaX South Africa Cocoa Contamination Hackathon

Helping Ghana
500 Zindi Points
Under code review
Computer Vision
Object Detection
54 joined
39 active
Starti
Jul 07, 26
Closei
Jul 08, 26
Reveali
Jul 09, 26
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.

Download images here: https://storage.googleapis.com/cocoa/dataset.zip

Files
Description
Files
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
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.
This is a starter notebook to help you make your first submission.