10/12/2022
Qwanteos is proud to have been involved in The Ocean Cleanup Challenge initiated by Kili Technology in support of The Ocean Cleanup’s action.
Every year, millions of tons of plastic reaches the oceans, with severe impact on our ecosystems, health, and economies. Thanks to AI and data science, this challenge consisted in annotating a massive dataset of polluted ocean photographs. This will allow The Ocean Cleanup to boost the efficiency of their plastic detection model, and accelerate the cleaning of our oceans.
Every year, millions of tons of plastic spill from our rivers to our oceans. A portion of this plastic travels to ocean garbage patches, where it gets caught in circulating currents. These garbage patches are a heavy burden to our oceanic life and if no action is taken, plastic will increasingly impact our ecosystems, health, and economies.
The current datasets were built using conventional methods (trawls) that are very labor-intensive, or less conventional methods (airplane) that are very costly and complex to organize. The team has worked on an AI object detection software, combined with automated time-lapse image series along GPS-tagged transects. This creates a remote sensing approach to detect and map the dynamic behavior of floating ocean plastic more efficiently. Ultimately, this growing dataset will help us determine where to deploy cleanup in an extensive area with an uneven distribution of plastic debris.
To help The Ocean Cleanup in their mission – to remove 90% of floating ocean plastic, we are organising a data-science challenge during which we’re mobilising hundreds of data scientists to annotate a massive dataset of polluted ocean photographs. This will allow The Ocean Cleanup to boost the efficiency of their plastic detection model, and accelerate the cleaning of our oceans.
During the challenge, participants will annotate images from The Ocean Cleanup’s on-board cameras, classifying the detected objects. With a mix of human and model annotation to accelerate the labeling process, your goal will be to label quickly to create the highest quality dataset.
To succeed during the challenge, we put at your disposal:
By participating in this challenge, you’ll be able to:
Winners of the challenge will be determined on the efficiency & quality of the labeling, and will be rewarded with extensive free vouchers for all solutions and swag packs!
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For the third consecutive time, Qwanteos has been selected in the European mapping of AI startups, reaffirming its role in shaping the future of artificial intelligence.
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We support the primary school "l'île aux enfants" and its wonderful founder Eric Hanrion. About 300 children divided into 16 classes, from kindergarten to primary school, benefit from quality education and nutrition.
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