Primary competition visual

Ghana Crop Disease Detection Challenge

Helping Ghana
$8 000 USD
Challenge completed 11 months ago
Computer Vision
Object Detection
2193 joined
344 active
Starti
Oct 04, 24
Closei
Dec 15, 24
Reveali
Dec 15, 24
Can you build a model for mobile phones to identify diseases on tomatoes, corn, and peppers?

In Sub-Saharan Africa, it is estimated that crop diseases and pests can reduce yields by up to 40% annually, with significant impacts on the food security and the economy of the region. This is a major concern, considering that agriculture employs more than 60% of the population and accounts for about 23% of the region's GDP.

Crop diseases are on the rise, exacerbated by climate change and the lack of access to advanced agricultural technologies. Diseases like tomato leaf curl virus and pepper blight have significantly impacted the yields of these essential crops.

The objective of this challenge is to develop robust machine learning models that can accurately predict all diseases present in images of corn, pepper, and tomato crops. Participants are tasked with creating models that can a) generalise well, even when encountering new diseases not seen in the training set, and b) operate efficiently on edge devices such as the entry-level smartphones used by most subsistence farmers in Africa.

By harnessing the power of machine learning, we aim to develop advanced solutions for detecting and identifying multiple diseases in three vital crops: corn, pepper, and tomatoes. The models and solutions developed in this challenge will support accurate and timely disease detection, enhance agricultural productivity and sustainability, and ensure food security for millions of people.

NB: This challenge is only open to citizens of African countries. Winners will be expected to demonstrate proof of citizenship.

About Responsible Artificial Intelligence (AI) Lab (RAIL)

The Responsible Artificial Intelligence (AI) Lab (RAIL) is hosted at the Kwame Nkrumah University of Science and Technology in Ghana. RAIL seeks to be the first step in establishing a sustainable approach to nurturing local talent to engage in multidisciplinary, responsible AI for development research and innovation with a focus on women that respond to capacity requirements of the public and private sectors. More specifically, the lab seeks to:

  • deepen our understanding of how to develop and apply responsible AI tools for the advancement of computer, biomedical, agricultural, and ecological sciences;
  • strengthen the national and international collaboration of public universities with the private sector, and
  • strengthen capacities in the responsible utilization of AI in support of the most vulnerable communities in Ghana, Senegal, and the sub-region.

RAIL is currently a part of the 10-year AI4D Africa partnership between IDRC and the Foreign Commonwealth Development Office (FCDO) to support policy, innovations, and expanded leadership that will spur responsible AI development in Africa. The mission of the program is to improve the quality of life for all in Africa and beyond by partnering with Africa’s science and policy communities to leverage AI through high-quality research, responsible innovation, and strengthening talent. The Lab is also supported by GIZ through its FAIR Forward initiative.

About FAIR Forward and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)

FAIR Forward is a global project implemented by the German Development Corporation (GIZ) on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ). The project is aimed at democratizing AI worldwide and fostering local innovation by open sourcing AI. It is being implemented in 7 countries in Africa and Asia, namely: Ghana, Kenya, India, Indonesia, Rwanda, South Africa, and Uganda. The three action areas of the project are:

  • Improve access to training data and open AI technologies for local innovation.
  • Strengthen local technical know-how on AI in Africa and Asia
  • Develop policy frameworks for ethical AI and foster dialogue on AI and data protection.

For more information, see this link.

Evaluation

The error metric for this competition is Mean Average Precision @ Intersection over Union(IoU) threshold -0.5.

Your submission file should look like this:

Image id class confidence ymin xmin ymax xmax

ID_2TZLLT80 Rot 0.5 130 12 340 300

  • Image_Id: is the Id assigned to each image. Note, that each image can have more the one object , which translates to more than one bounding box.
  • Class: is the particular bounding box classification, i.e. Rot, etc.
  • Confidence score: each object detector model gives the confidence score of each bounding box predicted in an image; this value is used to sort the bounding boxes.

Please note additional requirements for submissions under the Explainability and Resource Restrictions sections.

Explainability

As part of RAIL's commitment to Responsible AI, all submitted solutions must include explainability components. Participants are required to integrate explainability techniques such as Grad-CAM, LIME, or SHAP. These techniques should provide clear, visual explanations of how the models make their predictions, ensuring transparency and fostering trust in the AI solutions.

Please note that this is a requirement for winning in this challenge.

Resource Restrictions

Your solutions for this challenge must be able to function in a resource-limited setting i.e. it should run on a low-resource smartphone. As such, we are imposing the following restrictions on resources:

  • T4 GPU, maximum 9h training, maximum 3h inference
  • Model frameworks must be appropriate for use on edge devices (e.g. ONNX, TensorFlow Lite)
Prizes

Congratulations to the winners

🥇 1st Place: Learn to Relearn

🥈 2nd Place: @stefan027

🥉 3rd Place: @kiminya

1st place: USD4000*

2nd place: USD2500*

3rd place: USD1500*

In addition to financial prizes, the creators of the winning models will be invited to collaborate with RAIL to publish the results in a scientific journal, as well as work together on paths towards implementing the solutions developed.

NB: This challenge is only open to citizens of African countries. Winners will be expected to demonstrate proof of citizenship.

*The prizes are shown as estimated dollar equivalent amounts, given an exchange rate of USD1 = GHS16. The prizes will be awarded in Ghanaian cedis, in the following amounts, regardless of exchange rate:

1st place: 65 000 Ghana Cedis

2nd place: 40 000 Ghana Cedis

3rd place: 25 000 Ghana Cedis

There are 8 000 Zindi points available. You can read more about Zindi points here.

Timeline

Competition starts on 4 October 2024 at 8:00 AM GMT.

Competition closes on 15 December 2024.

Final submissions must be received by 11:59 PM GMT.

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

Rules
  • Languages and tools: You may only use open-source languages and tools in building models for this challenge.
  • Who can compete: This challenge is only open to citizens of African countries.
  • Submission Limits: 5 submissions per day, 200 submissions overall.
  • Team size: Max team size of 4
  • Public-Private Split: Zindi maintains a public leaderboard and a private leaderboard for each challenge. The Public Leaderboard includes approximately 30% of the test dataset. The private leaderboard will be revealed at the close of the challenge and contains the remaining 70% of the test set.
  • Data Sharing: CC-BY SA 4.0 license
  • Platform abuse: Multiple accounts, or sharing of code and information across accounts not in teams, or any other forms of platform abuse are not allowed, and will lead to disqualification.
  • Code Review: Top 10 on the private leaderboard will receive an email requesting their code at the close of the challenge. You will have 48 hours to submit your code.

ENTRY INTO THIS CHALLENGE CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL CHALLENGE RULES.

Full Challenge Rules

This challenge is only open to citizens of African countries. Winners will be expected to demonstrate proof of citizenship.

Teams and collaboration

You may participate in challenges 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 challenge, minus the total number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.

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 immediately disqualified from the platform.

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

The Zindi data scientist who sets up a team is the default Team Leader but they can transfer leadership to another data scientist on the team. The Team Leader can invite other data scientists to their team. Invited data scientists can accept or reject invitations. Until a second data scientist accepts an invitation to join a team, the data scientist who initiated a team remains an individual on the leaderboard. No additional members may be added to teams within the final 5 days of the challenge or last hour of a hackathon.

The team leader can initiate a merge with another team. Only the team leader of the second team can accept the invite. The default team leader is the leader from the team who initiated the invite. Teams can only merge if the total number of members is less than or equal to the maximum team size of the challenge.

A team can be disbanded if it has not yet made a submission. Once a submission is made individual members cannot leave the team.

All members in the team receive points associated with their ranking in the challenge and there is no split or division of the points between team members.

Datasets and packages

The solution must use publicly-available, open-source packages only.

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

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

You are allowed to access, use and share challenge data for any commercial,. non-commercial, research or education purposes, under a CC-BY SA 4.0 license.

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

Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.

Submissions and winning

You may make a maximum of 5 submissions per day.

You may make a maximum of 200 submissions for this challenge.

Before the end of the challenge you need to choose 2 submissions to be judged on for the private leaderboard. If you do not make a selection your 2 best public leaderboard submissions will be used to score on the private leaderboard.

During the challenge, your best public score will be displayed regardless of the submissions you have selected. When the challenge closes your best private score out of the 2 selected submissions will be displayed.

Zindi maintains a public leaderboard and a private leaderboard for each challenge. The Public Leaderboard includes approximately 30% of the test dataset. While the challenge is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the challenge, the Private Leaderboard, which covers the other 70% of the test dataset, will be made public and will constitute the final ranking for the challenge.

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.

If you are in the top 10 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 48 hours to respond and submit your code following the Reproducibility of submitted code guidelines detailed below. Failure to respond will result in disqualification.

If your solution places top ten on the final leaderboard, you will be required to submit your winning solution code to us for verification.

If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).

The winners will be paid via bank transfer, PayPal if payment is less than or equivalent to $100, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners. The top winners or team leaders will be required to present Zindi with proof of identification, proof of residence and a letter from your bank confirming your banking details. Winners will be paid in USD or the currency of the challenge. If your account cannot receive US Dollars or the currency of the challenge then your bank will need to provide proof of this and Zindi will try to accommodate this.

Payment will be made after code review and sealing the leaderboard.

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 challenge constitutes your acceptance of these official challenge rules.

Zindi is committed to providing solutions of value to our clients and partners. To this end, we reserve the right to disqualify your submission on the grounds of usability or value. This includes but is not limited to the use of data leaks or any other practices that we deem to compromise the inherent value of your solution.

Zindi also reserves the right to disqualify you and/or your submissions from any challenge if we believe that you violated the rules or violated the spirit of the challenge 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 challenge. We reserve the right to update these rules at any time.

Reproducibility of submitted code

  • If your submitted code does not reproduce your score on the leaderboard, we reserve the right to adjust your rank to the score generated by the code you submitted.
  • If your code does not run you will be dropped from the top 10. Please make sure your code runs before submitting your solution.
  • Always set the seed. Rerunning your model should always place you at the same position on the leaderboard. When running your solution, if randomness shifts you down the leaderboard we reserve the right to adjust your rank to the closest score that your submission reproduces.
  • Custom packages in your submission notebook will not be accepted.
  • You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.

Documentation

A README markdown file is required

It should cover:

  • How to set up folders and where each file is saved
  • Order in which to run code
  • Explanations of features used
  • Environment for the code to be run (conda environment.yml file or an environment.txt file)
  • Hardware needed (e.g. Google Colab or the specifications of your local machine)
  • Expected run time for each notebook. This will be useful to the review team for time and resource allocation.

Your code needs to run properly, code reviewers do not have time to debug code. If code does not run easily you will be bumped down the leaderboard.

Consequences of breaking any rules of the challenge or submission guidelines:

  • First offence: No prizes for 6 months and 2000 points will be removed from your profile (probation period). If you are caught cheating, all individuals involved in cheating will be disqualified from the challenge(s) you were caught in and you will be disqualified from winning any challenges for the next six months and 2000 points will be removed from your profile. If you have less than 2000 points to your profile your points will be set to 0.
  • Second offence: Banned from the platform. If you are caught for a second time your Zindi account will be disabled and you will be disqualified from winning any challenges or Zindi points using any other account.
  • Teams with individuals who are caught cheating will not be eligible to win prizes or points in the challenge in which the cheating occurred, regardless of the individuals’ knowledge of or participation in the offence.
  • Teams with individuals who have previously committed an offence will not be eligible for any prizes for any challenges during the 6-month probation period.

Monitoring of submissions

  • We will review the top 10 solutions of every challenge when the challenge ends.
  • We reserve the right to request code from any user at any time during a challenge. You will have 24 hours to submit your code following the rules for code review (see above). Zindi reserves the right not to explain our reasons for requesting code. If you do not submit your code within 24 hours you will be disqualified from winning any challenges or Zindi points for the next six months. If you fall under suspicion again and your code is requested and you fail to submit your code within 24 hours, your Zindi account will be disabled and you will be disqualified from winning any challenges or Zindi points with any other account.