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Synthetic image datasets that mirror open source real image datasets
Annotations of real image datasets generated by vision language models
Preprocessed real and fake images with face content, cropped/aligned to the largest detected face and augmented with random transforms.
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bitmind/ffhq-256_training_faces
Viewer • Updated • 95.9k • 35 -
bitmind/celeb-a-hq_training_faces
Viewer • Updated • 41.2k • 24 • 1 -
bitmind/ffhq-256___stable-diffusion-xl-base-1.0_training_faces
Viewer • Updated • 77k • 51 • 1 -
bitmind/celeb-a-hq___stable-diffusion-xl-base-1.0___256_training_faces
Viewer • Updated • 36.7k • 9
Synthetic image datasets generated by diffusion models run by validators on our Bittensor subnet
Preprocessed real and fake images with face content, cropped/aligned to the largest detected face and augmented with random transforms.
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bitmind/ffhq-256_training_faces
Viewer • Updated • 95.9k • 35 -
bitmind/celeb-a-hq_training_faces
Viewer • Updated • 41.2k • 24 • 1 -
bitmind/ffhq-256___stable-diffusion-xl-base-1.0_training_faces
Viewer • Updated • 77k • 51 • 1 -
bitmind/celeb-a-hq___stable-diffusion-xl-base-1.0___256_training_faces
Viewer • Updated • 36.7k • 9
Synthetic image datasets that mirror open source real image datasets
Synthetic image datasets generated by diffusion models run by validators on our Bittensor subnet
Annotations of real image datasets generated by vision language models