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Datasets:
balgot
/
stylegan3-annotated

Tasks:
Image-to-Text
Text-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
Tags:
stylegan3
face-generation
Libraries:
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StyleGAN3 Annotated Images

This dataset consists of a pandas table and attached images.zip file with these entries:

  • seed (numpy seed used to generate random vectors)
  • path (path to the generated image obtained after unzipping images.zip)
  • vector (generated numpy "random" vector used to create StyleGAN3 images)
  • text (caption of each image, generated using BLIP model: Salesforce/blip-image-captioning-base)

Usage

In order not to load the images into the memory, we will load the images separately.

images = load_dataset("balgot/stylegan3-annotated", data_files=["*.zip"])
dataset = load_dataset("balgot/stylegan3-annotated", data_files=["*.csv"])

# TODO: convert "vector" column to numpy/torch

It was created as a part of the course project for FI:PA228 at Masaryk University.

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Size of downloaded dataset files:
2.11 GB
Size of the auto-converted Parquet files:
2.11 GB
Number of rows:
20,000

Models trained or fine-tuned on balgot/stylegan3-annotated