Artificial Super Girlfriend Image Dataset for Model Fine-Tuning

A collection of approximately 2,800 portrait images created by the author for fine-tuning generative AI models. The dataset is structured into versions 2.1 and 2.6, each containing unprocessed and processed images categorized by a 'beauty score' threshold of 87 or higher. It was created by ThePioneer and last updated on Hugging Face in May 2023.

Use Cases

• Fine-tuning portrait generation models based on high-beauty-score images.
• Training models to generate images with a specific aesthetic balance (e.g., cute vs. beautiful) based on the version categories.
• Studying the effect of post-processing on model training using the paired unprocessed and processed images.
• Developing models that can generate images with a quantifiable 'beauty score' attribute.

Strengths

• Contains over 1,000 images with a 'beauty score' of 90 or higher, which the author claims is a notable scale for this category.
• All source images have a 'beauty score' of 87 or above, providing a curated baseline.
• Provides paired unprocessed and processed versions of images, allowing for comparative training.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

ThePioneer (author)

Collection Method

Created by the author from themselves, as described.

Freshness

Last updated 2023-05-05 04:57:44; freshness should be verified.