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SelecEval Documentation

CIFAR10

SelecEval Documentation

Introduction
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Algorithms
Algorithms
- ActiveFL
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Data
Data
- Adding new data distributions
- Datasets
  Datasets
  - CIFAR10 CIFAR10
    Table of contents
    
    Example Data
  - MNIST
  - Adding new datasets
- Feature distributions
  Feature distributions
  - Gaussian
- Label distributions
  Label distributions
- Quantity distributions
  Quantity distributions
  - Dirichlet
  - Uniform
Examples
Examples
- Example Descriptions
- Example 1
- Example 2
- Paper
  Paper
Module docs
Module docs
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Simulation
Simulation
Validation
Validation
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- Advanced analytics
  Advanced analytics

CIFAR10

We include the CIFAR-10 dataset, which is frequently used in literature and considered a standard deep learning dataset. CIFAR-10 consists of 50,000 training and 10,000 test images, split into ten classes of 6000 32x32 pixel images each.

Example Data

Example Images

Krizhevsky, Alex, Geoffrey Hinton, and Others. 2009. 
“Learning Multiple Layers of Features from Tiny Images.”