The aim of this competition is to build a machine learning model to identify individual sea turtles. For each image presented, the model should output the turtle’s unique ID or, if the image corresponds to a new turtle (not present in the database), identify it as a new individual. A dataset of labelled photos of turtle faces and a tutorial including a simple baseline model have been provided.
The model used in this submission is ResNet152 with ImageNet policies and heavy image augmentaiton.
In the private leaderboard it achieved 
In the public leaderboard it achieved 