We are excited to announce that AWS DeepLens has a new project template for Bird Classification which enables classification of 200 species of birds.
This project yields the top 5 predictions on bird species from a static bird photo captured by the AWS DeepLens camera. The model uses ResNet-18 neural network architecture, and has been trained using CUB-200 dataset to identify 200 different bird species. To learn more, visit the AWS DeepLens documentation . To dive deep into another method on how you can implement ‘Bird Classification’ by modifying Amazon SageMaker’s built-in Object Detection algorithm to classify birds using AWS DeepLens, read this blog .