README.md

metadata

task_categories:
  - image-to-text
  - text-to-image
language:
  - en
tags:
  - stylegan3
  - face-generation
size_categories:
  - 10K<n<100K

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.