Head Detection

MinneApple is a benchmark dataset for apple detection and segmentation. The fruits are labelled using polygonal masks for each object instance to aid in precise object detection, localization, and segmentation. Additionally, the dataset also contains data for patch-based counting of clustered fruits. The dataset contains over 41, 000 annotated object instances in 1000 images. Source: https://github.com/nicolaihaeni/MinneApple Image Source: https://github.com/nicolaihaeni/MinneApple

Includes 4405 images with 111251 heads annotated. Source: Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture