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NORB DATASET

This database is intended for experiments in 3D object reocgnition from shape. It contains images of 50 toys belonging to 5 generic categories: four-legged animals, human figures, airplanes, trucks, and cars. The objects were imaged by two cameras under 6 lighting conditions, 9 elevations (30 to 70 degrees every 5 degrees), and 18 azimuths (0 to 340 every 20 degrees)

Dataset Statistics

The training set is composed of 5 instances of each category (instances 4, 6, 7, 8 and 9), and the test set of the remaining 5 instances (instances 0, 1, 2, 3, and 5).

Samples

NORB Sample

Dataset Usage

The “-dat” files store the image sequences. The “-cat” files store the corresponding category of the images. Each “-dat” file stores 29,160 image pairs (6 categories, 5 instances, 6 lightings, 9 elevations, and 18 azimuths). The 6-th category is for images without objects, which can be used to train a system to reject images as none of the 5 object categories. Each corresponding “-cat” file contains 29,160 category labels (0 for animal, 1 for human, 2 for plane, 3 for truck, 4 for car, 5 for blank).

Each “-info” file stores 29,160 10-dimensional vectors, which contain additional information about the corresponding images. The first 4 elements in the vector are:

1. the instance in the category (0 to 9)
1. the elevation (0 to 8, which mean cameras are 30, 35,40,45,50,55,60,65,70 degrees from the horizontal respectively)
1. the azimuth (0,2,4,…,34, multiply by 10 to get the azimuth in degrees)
1. the lighting condition (0 to 5) and the next 6 elements describe the peturbations added to the object when superposed onto a cluttered background. (see next section)

For regular training and testing, “-dat” and “-cat” files are sufficient. “-info” files are provided in case some other forms of classification or preprocessing are needed.

Tensorflow

NORB:

Getting the Code

To get a local copy of the code, clone it using git:

git clone https://github.com/shashanktyagi/DC-GAN-on-NORB-dataset.git


run dcgan_main.py

Keras

To get a local copy of the code, clone it using git:

git clone https://github.com/ndrplz/small_norb.git


Plug-and-play python wrapper around the small NORB dataset.

Torch

Use the following code to load and run norb in torch https://github.com/rosejn/torch-datasets/blob/master/dataset/smallnorb.lua

Reference:

1.https://cs.nyu.edu/~ylclab/data/norb-v1.0/