Few-Shot Image Synthesis Shell Dataset

Serving as associated with research on faster and stabilized GAN training for high-fidelity few-shot image synthesis. It contains images, as indicated by the 'Modalityimage' tag, and is categorized as a small dataset with a size of 'n1 K'. The dataset was created by the author 'huggan' and last updated in April 2022.

Use Cases

• Train a GAN for few-shot image synthesis using the image modality data.
• Benchmark few-shot learning models on the 'n1 K' size category of images.
• Analyze image generation quality and stability as referenced in the associated arXiv paper.

Strengths

• Dataset is associated with a peer-reviewed arXiv paper (arXiv:2101.04775) from 2021.
• Data modality is clearly specified as 'image'.
• Dataset size is categorized as 'n1 K', indicating a small-scale collection suitable for few-shot tasks.

Limitations

• The exact number of rows, columns, and file size is unknown.
• Sample data and specific column descriptions are unavailable for inspection.
• The dataset's last update was in April 2022, which may limit its relevance for current state-of-the-art comparisons.

Provenance

Source

huggingface, author huggan

Collection Method

Associated with the research paper 'Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis'.

Freshness

Last updated on 2022-04-12.

Geography

Region tag indicates 'us'.