MinneApple is a benchmark dataset for apple detection and segmentation. The dataset annotates each object instance using polygonal masks to aid accurate object detection, localization, and segmentation. In addition, the dataset provides patch-based clustering of fruit counts. The dataset contains over 410,000 annotated object instances in 1,000 images.