Computer Vision for Image Classification
A learning competition for CMU Data Science Club and AI Saturdays Kigali in Rwanda
Prize
Knowledge
Time
Active
Participants
41 active · 199 enrolled
Helping
Rwanda
Intermediate
Computer Vision
Description

This challenge was designed by Carnegie Mellon University Africa Data Science Club in Rwanda in partnership with AI Saturdays Kigali, specifically for the students of the Carnegie Mellon University and general AI saturdays Kigali community with a modified dataset from UCI machine Learning repository, which takes place between 16 February - 18 May. Welcome to the CMU students and AI Saturdays Kigali members!

CMU Africa Data science club has made this competition open to the Zindi community to learn and test their skills. Anyone is welcome to enter this 'knowledge' challenge.

Description of the challenge:

The instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region. Your task is to predict if a 3x3 image region belongs to one of seven classes (window, foliage, brickface, sky, grass, path, cement).

About Carnegie Mellon University Africa (www.africa.engineering.cmu.edu):

CMU-Africa’s vision is to educate and empower the next generation of African leaders and innovators by delivering a world-class educational experience. Our mission is to produce creative and technically strong engineers, who have been trained in the African context, and prepared to make transformative impact in their communities and the world.

CMU-Africa was established in 2011 and is the only U.S. research university offering its master’s degrees with a full-time faculty, staff and operations in Africa. Born out of a partnership between CMU and the Government of Rwanda, CMU-Africa is addressing the critical shortage of high quality engineering talent required to accelerate development in Africa—home to the fastest growing workforce in the world.

CMU’s presence in Rwanda provides a platform to engage in Africa’s most significant opportunities and challenges through world-class education and contextually-relevant research.

About AI Saturdays Kigali (https://nurture.ai/ai-saturdays):

AI Saturdays Kigali is part of the global AI saturdays community. We are a structured AI community study group in various cities around the world. In Kigali, we started out second cohort on 16 February with over a 120 students in attendance. Our mission is to eventually create an AI industry in Rwanda by making human resource available. We hold intermediate and beginners classes every saturday.

Evaluation

The evaluation metric for this challenge is the Area Under the Curve.

Your submission file should look like:

ID           CLASS_0    CLASS_1    CLASS_2    CLASS_3    CLASS_4      CLASS_5     CLASS_6
<string>      <number>  <number>   <number>   <number>   <number>     <number>   <number>
 5             .034     .215       .567       .975        .123         .103       .453

Prizes

This is a learning competition. Aside from knowledge, there are no prizes for this competition.

You will receive 25 points for your first submission and 50 points for your first non-sample submission. You can read more about Zindi points here.

Timeline

As this is a knowledge competition it will not close.

We reserve the right to update the contest timeline if necessary.

How to get started with Zindi

How to enroll in your first Zindi competition

How to create a team on Zindi

How to update your profile on Zindi

Rules

As this is a learning challenge, aside from the rules in the Terms of Use, no other particular rules apply.

This challenge is open to all and not restricted to any country.

Teams and collaboration

You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation.

Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.

Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).

Datasets and packages

The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.

You may use only the datasets provided for this competition. Automated machine learning tools such as automl are not permitted.

If the challenge is a computer vision challenge, image metadata (Image size, aspect ratio, pixel count, etc) may not be used in your submission.

You may use pretrained models as long as they are openly available to everyone.

The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.

You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.

Your solution must not infringe the rights of any third party.

Submissions and winning

You may make a maximum of 10 submissions per day.

Note that to count, your submission must first pass processing. If your submission fails during the processing step, it will not be counted and not receive a score; nor will it count against your daily submission limit. If you encounter problems with your submission file, your best course of action is to ask for advice on the Competition’s discussion forum.

Note that there is no public/private leaderboard split for this challenge. Read more about public and private leaderboards in this post.

You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.

Zindi also reserves the right to disqualify you and/or your submissions from any competition if we believe that you violated the rules or violated the spirit of the competition or the platform in any other way. The disqualifications are irrespective of your position on the leaderboard and completely at the discretion of Zindi.

Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.