Kaggle competition on DNN-based species classification
In 2017 Neurotechnology researchers won first place in a Kaggle competition with deep neural network based computer vision solution for classifying fish species.
Research engineers from Neurotechnology teamed up and came in first place out of 2,293 teams who entered the Kaggle competition, which tasked top scientists and algorithm developers to design an AI fish detection and classification algorithm. A state-of-the-art deep neural networks based solution solved the problem and provided the best overall result in the competition.
Read the press release for more information.
Awards Overview
Kaggle Deep Neural Networks competition
