DSN AI+ Club FUTA Identifying Marine Invertebrates hackathon
Knowledge
A learning competition for AI FUTA
20 data scientists enrolled, 8 on the leaderboard
ConservationResearchComputer VisionStructured
Nigeria
23 May—11 June
20 days

This is a private hackathon open to Futarians, If you would like to participate, contact 08166700905.

This challenge was designed by AI community FUTA, Specifically for AI community FUTA Monthly Competition, which takes place 23-28 May. Welcome to the AI Community participants!

Deep sea marine invertebrates are frequently long-lived, slow growing and have limited to zero mobility. As a result of these life history characteristics they are known to reflect the changing climate of the ecosystem. They frequently have wide tolerance ranges as they are unable to rapidly move away from unfavourable conditions. For this reason, marine invertebrates are considered good indicators of long-term ecosystem health. In a changing ocean environment it is likely that marine invertebrates will provide early warning signs through reduced biodiversity, along with dramatic increases of a few species for which the changes are beneficial.

Marine invertebrates living on South Africa’s seafloor are meticulously collected, measured and photographed annually during research trawl surveys. Individual invertebrates are photographed in isolation, especially if identification thereof is uncertain, enabling identification at a later stage. Identification of each individual in each image is a laborious effort and is still required. Once the species have been identified, the data are added to a South African marine invertebrates database. Any species not previously encountered are also being added to a field guide to improve taxonomic knowledge of the region.

Teams are challenged to develop an automated image classification solution for photographs of marine invertebrate taken by researchers in South Africa. This will substantially reduce the manual image processing efforts of the team and enable them to detect any changing patterns in marine invertebrates much faster by reducing the need for human intervention in sample processing and evaluation.

Watch a SAEON team out in the field collecting data.

About Developer Student Clubs FUTA (dscfuta.dev)

Helping students bridge the gap between theory and practice Google Developer Student Clubs are community groups for college and university students interested in Google developer technologies. Students from all undergraduate or graduate programs with an interest in growing as a developer are welcome. By joining a DSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community.

About Data Science Nigeria (www.datasciencenigeria.org):

Data Science Nigeria is a non-profit run and managed by the Data Scientists Network Foundation. Our vision is to accelerate Nigeria’s development through a solution-oriented application of machine learning in solving social/business problems and to galvanize data science knowledge revolution, which can position Nigeria to become the outsourcing hub for international Data Science/Advanced Analytics/Big Data projects, with opportunity to access at least 1% share of the global big data and analytics market, valued at $150b in 2017 ($203b in 2020).

We adopt a practitioner-led model where experienced and hands-on data scientists in Nigeria and in the Diaspora train and mentor young Nigerians through face-to-face, virtual coaching classes, project-based support and holiday boot camps funded by individuals and corporate organizations.

About South African Environmental Observation Network (SAEON) (http://www.saeon.ac.za/):

SAEON is a sustained, coordinated, responsive and comprehensive in situ South African Earth observation network that delivers long-term reliable data for scientific research and informs decision-making for a knowledge society and improved quality of life.