Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge
This repository includes the code and data for the object perception method of our winning entry to the 2015 Amazon Picking Challenge. The object segmentation method and the analysis from the accompaning paper are implemented in python. The data can be used to develop and benchmark new perception methods in this setting.
Repository: gitlab.tubit.tu-berlin.de/rbo-lab/rbo-apc-object-segmentation 
Accompanying paper: Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge 
Original author: Rico Jonschkowski
Contact person: Vincent Wall 
Project: Amazon Picking Challenge 2015