metadata
license: apache-2.0
task_categories:
- image-classification
- text-to-image
language:
- en
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 474803250
num_examples: 250000
download_size: 504570367
dataset_size: 474803250
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
These images were generated with an image generator I trained on the CIFAR-10 dataset
There are 250k images in total
Not recommended for serious training, only experimentation
Name Format:
(name)_(counter)(index).png
Name: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck
Counter: every digit besides the last, range from 0 to 24999
Index: each name has one, they range from 0 to 9 (airplane - 0, automobile - 1, bird - 2...)
Example: bird_115102.png (Name - bird, Counter - 11510, Index - 2)
Source code, Models available on my GitHub: