Can a machine distinguish between a honey bee and a bumble bee? Being able to identify bee species from images, while challenging, would allow researchers to more quickly and effectively collect field data.
This project is a series of projects that walk through working with image data, building classifiers using traditional techniques, and leveraging the power of deep learning for computer vision
- Image Loading and Processing - This project is the FIRST part of a series of projects, in this I will use the Python image library Pillow to load and manipulate image data
- Predict Species from Images - This project is the SECOND part of a series of projects, in this I will then build a model to identify honey bees and bumble bees given an image of these insects.
- Deep Learning with Images - This project is the THIRD part of a series of projects, in this I will build a simple deep learning model that can automatically detect honey bees and bumble bees, then load a pre-trained model for evaluation. You will use keras, scikit-learn, scikit-image, and numpy, among other popular Python libraries.