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--- |
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task_categories: |
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- image-to-text |
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- text-to-image |
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language: |
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- en |
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tags: |
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- stylegan3 |
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- face-generation |
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size_categories: |
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- 10K<n<100K |
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--- |
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# StyleGAN3 Annotated Images |
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This dataset consists of a `pandas` table and attached `images.zip` file with these entries: |
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* seed (`numpy` seed used to generate random vectors) |
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* path (path to the generated image obtained after unzipping `images.zip`) |
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* vector (generated numpy "random" vector used to create StyleGAN3 images) |
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* text (caption of each image, generated using BLIP model: `Salesforce/blip-image-captioning-base`) |
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## Usage |
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In order not to load the images into the memory, we will load the images separately. |
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```python |
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images = load_dataset("balgot/stylegan3-annotated", data_files=["*.zip"]) |
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dataset = load_dataset("balgot/stylegan3-annotated", data_files=["*.csv"]) |
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# TODO: convert "vector" column to numpy/torch |
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``` |
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It was created as a part of the course project for FI:PA228 at Masaryk University. |
