Few-Shot Cat Images for Generative Adversarial Network Training

Images of cats intended for few-shot image synthesis research. It is associated with a 2021 arXiv paper on faster and stabilized GAN training for high-fidelity few-shot image synthesis. The dataset size and specific column structure are not provided.

Use Cases

• Train a Generative Adversarial Network (GAN) for few-shot image synthesis using cat images.
• Benchmark few-shot learning models on the image modality for animal generation tasks.
• Study the stabilization of GAN training with a limited set of cat image data.

Strengths

• Dataset is associated with a peer-reviewed arXiv paper from 2021.
• Tagged with the image modality, confirming its content type.
• Last updated on April 12, 2022.

Limitations

• The number of images, rows, and columns is unknown, limiting assessment of scale and structure.
• Specific image attributes, labels, or features are not described in the provided input.
• Potential geographic or breed bias is unknown due to lack of source details.

Provenance

Source

huggan on Hugging Face, associated with the arXiv paper 'Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis'.

Collection Method

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Freshness

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Geography

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