Planetary gear dataset

Planetary Gear Dataset including 6 classes of object. The dataset was generated by capturing 150 real images (Intel Realsense D435) and annotating them with the correct labels (bounding boxes, keypoints and polygons). Further augmentation of the images completes the dataset to around 170,000 images. All tools and scripts to generate and replicate the dataset are provided, as well as the trained model and visualization scripts