Dart Score Detector

This application uses an SSD-Mobilenet neural network for object detection to automatically calculate the score in a game of darts. The application detects the Bull (the dartboard's center) and arrows placed on the dartboard. One challenge with SSD-Mobilenet was determining the score accurately since there are 61 different patterns of dart scores, which are combinations of numbers 1-20 and multiples (Single, Double, Triple) + Bull. To overcome this, the project uses an original dataset for the trained model to estimate the scores more accurately.