CIFAR-10
CIFAR-10 dataset
Dataset Statistics
- Color: RGB
- Sample Size: 32x32
The number of categories of CIFAR-10 is 10, that is airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck.
The Number of Samples per Category for CIFAR-10
| Category | airplane | automobile | bird | cat | deer | dog | frog | horse | ship | truck | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| #Training Samples | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 50,000 | |
| #Testing Samples | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 1,000 | 10,000 |
Samples
Dataset Usage
TensorFlow:
TensorFlow @TensorFlow_Convolutional_Neural_Networks
Caffe:
export CAFFE_ROOT='path_to_caffe_root_folder'
cd $CAFFE_ROOT
./data/cifar10/get_cifar10.sh
./examples/cifar10/create_cifar10.sh
Caffe @caffe_Alex’s_CIFAR-10_tutorial_Caffe_style
Torch:
th train-on-cifar-10.lua
General tools for Python
Official Python function:
def unpickle(file):
import cPickle
with open(file, 'rb') as fo:
dict = cPickle.load(fo)
return dict