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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.

FieldValue
Modified
2019-08-05
Release Date
2018-03-02
Identifier
e3d5e539-2674-4e54-a2ef-a422fd750d4a
Publisher
National Robotics Engineering Center
Temporal Coverage
March 1, 2013 to November 1, 2015
License
Contact Name
NREC Human Detection Team
Contact Email
Public Access Level
Public