Identification of endangered right whales in aerial photographs

The goal of the project is to develop an automatic algorithm for identification and distinction between different right whale items, relying on aerial photographs taken throughout a decade. The project was suggested as a challenge by Kaggle community, which promotes competitions of data processing and learning systems.

The database provided by Kaggle included 4544 labeled photos and 6925 unlabeled photos of 447 right whale items. In the project, we learned and implemented deep learning with convolutional neural networks, which turned out to be the state-of-the-art solution to the Right Whales challenge.

endangered right whales