Cameroon Advance Analytic Ultrasound Image Challenge by Camair-AI
1 000 000 CFA
Given ultrasounds of kidneys can you detect renal failure?
59 data scientists enrolled, 32 on the leaderboard
HealthComputer VisionClassificationImageSDG3
Cameroon
16 April—1 June
46 days

You are provided with 134 images of kidneys 65 percent of them are in renal failure.

The objective of this challenge is to build a machine learning model that can predict if kidneys are in renal failure from ultrasounds and to build a hub of data scientists and analysts in Cameroon.

Files available for download:

  • Images.zip - contains all 133 images.
  • Train.csv - contains a list of img_IDs. You will use these img_IDs to pull the corresponding images from the Images.zip. This file also indicates which images are diseased or healthy. You will use these images to train your model.
  • Test.csv- contains a list of img_IDs. You will use these img_IDs to pull the corresponding images from the Images.zip. You will use these images to apply your model to and make predictions.
  • SampleSubmission.csv - shows the submission format for this competition, with the ‘img_IDs’ mirroring that of Test.csv and the ‘target’ column containing your predictions. The order of the rows does not matter, but the names of the img_IDs must be correct.