The project has just started and we will update this page with our data.

In the meantime, you will find below detasets of interest.

  • RGB-D object dataset

    RGB-D object dataset

    The RGB-D Object Dataset is a large dataset of 300 common household objects, recorded using a Kinect style 3D camera.

  • JHU Visual Perception Datasets

    JHU Visual Perception Datasets (JHU-VPD)

    The JHU Visual Perception Datasets (JHU-VP) contain benchmarks for object recognition, detection and pose estimation using RGB-D data.

  • BigBIRD: (Big) Berkeley instance recognition dataset

    BigBIRD: (Big) Berkeley instance recognition dataset

    This is the dataset introduced with the following publication: A. Singh, J. Sha, K. Narayan, T. Achim, P. Abbeel, "A large-scale 3D database of object instances", Hong Kong, China, 31 May - 7 June 2014.

  • iCubWorld Transformations

    iCubWorld transformations

    In this dataset, each object is acquired while undergoing isolated visual transformations, in order to study invariance to real-world nuisances.

  • Active Vision Dataset (AVD)

    Active Vision Dataset (AVD)

    The dataset enables the simulation of motion for object instance recognition in real-world environments.


    HICO and HICO-DET datasets

    Two benchmarks for classifying and detecting human-object interactions (HOI) in images: (i) HICO (Humans Interacting with Common Objects) and (ii) HICO-DET dataset.

  • COCO dataset

    COCO dataset

    A large-scale object detection, segmentation, and captioning dataset with several different features.

  • Autonomous robot indoor dataset

    Autonomous robot indoor dataset

    The dataset embeds the challenges faced by a robot in a real-life application and provides a useful tool for validating object recognition algorithms..