The National Robotics Engineering Center Agricultural Person-Detection Dataset

Person detection from vehicles has made rapid progress recently with the advent of multiple high-quality datasets of urban and highway driving, yet no large-scale benchmark is available for the same problem in off-road or agricultural environments. Here we present the National Robotics Engineering Center (NREC) Agricultural Person-Detection Dataset to spur research in these environments. It consists of labeled stereo video of people in orange and apple orchards taken from two perception platforms (a tractor and a pickup truck), along with vehicle position data from Real Time Kinetic (RTK) GPS. We define a benchmark on part of the dataset that combines a total of 76k labeled person images and 19k sampled person-free images. The dataset highlights several key challenges of the domain, including varying environment, substantial occlusion by vegetation, people in motion and in nonstandard poses, and people seen from a variety of distances; metadata are included to allow targeted evaluation of each of these effects. Resources in this dataset: Resource Title: Dataset Website. File Name: Web Page, url: https://www.nrec.ri.cmu.edu/solutions/agriculture/other-agriculture-projects/human-detection-and-tracking.html This website provides an overview of the associated project, the latest benchmark results, and links to download the data.