Fishial.AI was created by private foundation with mission to
become the world’s largest marine biodiversity-related citizen
science project focused on fish identification.
Fishial.AI was created by private foundation with mission to become the world’s largest marine
biodiversity-related citizen science project focused on fish identification. With them, we have designed
and implemented a unified platform for the cooperation of various entities to create the world's largest
training database for fish pictures.
We have prepared and created an editor supported by AI/Machine Learning/Computer Vision technology
that allows for automatic shape determination and fish attribute identification. We have developed
AI/Machine Learning models that support the editor and create polygons describing the fish in order to
optimize photo classification time. The platform's development plan includes using the acquired photo
database to build further AI models recognizing any species of fish in the world.
The Fishial project includes a part that is responsible for detecting fish and drawing its outlines. This algorithm is implemented as part of the ML side project, the following things have been done:
To enable seamless application development and high performance, we relied on microservices managed by Kubernetes. The architecture was prepared for processing millions of photos, so we used two cloud providers: