Building an ML powered bird classification solution using a DeepLens, the Caltech CUB-200-2011 dataset and the ResNet 18 neural network architecture. The solution includes automatic image uploads to a Hugo Easy Gallery on S3. The project is still a bit in the scrappy MVP state but read on for the high level build flow. Check out the blog post, Bird Brain Gallery and GitHub repo. ...
In this blog we will cover how to build an ML powered bird classification solution using a DeepLens, the Caltech CUB-200-2011 dataset and the ResNet 18 neural network architecture. The solution includes automatic image uploads to a Hugo Easy Gallery on S3. The project is still a bit in the scrappy MVP state but read on for the high level build flow. Check out the Bird Brain Gallery on my Hugo site. In this solution, we are classifying birds but the approach could also be used for security applications such as detecting strangers through facial recognition or even looking for images with weapons. ...