Few-Shot Pokemon Images for Generative Adversarial Network Training

Aggregating images of Pokemon for few-shot image synthesis research, associated with a 2021 arXiv paper on GAN training. The dataset is categorized as size 'n1 K', indicating it contains over 1,000 images. It is hosted by the 'huggan' organization and was last updated in April 2022.

Use Cases

• Train a Generative Adversarial Network (GAN) for few-shot image synthesis using the provided Pokemon images.
• Benchmark image generation models on the 'n1 K' scale Pokemon image dataset.
• Conduct research on high-fidelity image synthesis as referenced in the associated arXiv paper.

Strengths

• Dataset size is categorized as 'n1 K', indicating it contains over 1,000 images.
• Associated with a specific, cited research paper (arXiv:2101.04775) from 2021.
• Hosted on a major platform (Hugging Face) with a last update timestamp of 2022-04-12.

Limitations

• The exact number of images (rows) and specific image attributes (columns) are unknown.
• The dataset's primary use is for a specific research area (few-shot GAN training), limiting general applicability.
• The dataset's creation method and potential biases (e.g., artist style, Pokemon generation coverage) are not described.

Provenance

Source

huggan organization on Hugging Face.

Collection Method

Created for research on few-shot GAN training, as per the associated arXiv paper.

Freshness

Last updated on 2022-04-12.