Offer
Software
Web Apps
Mobile Apps
Admin panels with advanced data analytics
UX / UI design
Outsourcing
Deep Tech
Machine learning
Data sets & Neural networks training
Image & sound AI processing
Augmented & Virtual reality solutions
Metaverse development service
Hardware
Electronics design
Hardware prototyping
Firmware & embedded software development
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Case studies
Company
Software
Web Apps
Mobile Apps
Admin panels with advanced data analytics
UX / UI design
Outsourcing
Deep Tech
Machine learning
Data sets & Neural networks training
Image & sound AI processing
Augmented & Virtual reality solutions
Metaverse development service
Hardware
Electronics design
Hardware prototyping
Firmware & embedded software development
Wireless connectivity
FishAngler
Client
USA
Country
Science
Industry
2019 - present
Year
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:
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