Apple detection using synthetic data

As part of the Professorship of Applied Sciences in Computer Vision and Data Science

Goal	Detect and measure apples in orchards
Main challenge	There is a limited amount of image data available due to the apple being a sessional product.
Result	A model that generates realistic images of apples on which the AI detection models is trained. The model is trained on synthetic images and shows impressive real-image accuracy.
Future	Use more sophisticated models to generate visually convincing image data to reduce the need for expensive real-life data collection.