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