Datasets:
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.