Shoe Images for Conditional Adversarial Network Training

Used for image-to-image translation tasks, as described in the 2017 CVPR paper by Isola et al. It contains pairs of images for training conditional adversarial networks. The specific row count, column structure, and image count are not provided in the input.

Use Cases

• Train a conditional adversarial network (pix2pix) for image-to-image translation tasks as per the cited paper.
• Develop models to translate edge maps of shoes into full-color shoe images.
• Use the dataset for benchmarking generative adversarial network architectures in computer vision research.

Strengths

• Associated with a seminal 2017 CVPR paper on conditional adversarial networks.
• Last updated on the platform in April 2022.

Limitations

• The dataset size, number of images, and specific column structure are unknown.
• The dataset's license and detailed provenance are not specified in the input.

Provenance

Source

huggan on Hugging Face, based on the work from the 2017 CVPR paper 'Image-to-Image Translation with Conditional Adversarial Networks'.

Collection Method

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Time Range

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Freshness

2022-04-12

Geography

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