Minecraft Screenshots for Image-to-Image Translation

34.8 thousand cleaned TIFF-format screenshots from the game Minecraft. All images are standardized to a uniform resolution of 1280 by 580 pixels. The author, organization, and creation date are unknown.

Use Cases

• Train a CycleGAN model to translate the visual style of Minecraft screenshots to another domain using the 34.8k TIFF images as the source domain.
• Develop image super-resolution models by using the 1280x580 screenshots as high-resolution targets for lower-resolution inputs.
• Create synthetic environment datasets for training object detectors by leveraging the structured, block-based visuals of Minecraft screenshots.
• Benchmark image preprocessing pipelines on a large, uniformly formatted collection of 34.8k game screenshots.

Strengths

• Contains 34.8 thousand individual image samples.
• All images are pre-processed to a consistent 1280x580 pixel resolution.
• Images are cleaned, suggesting removal of UI elements or artifacts.

Limitations

• Unknown sample size for potential sub-domains or scene types within the 34.8k images.
• Lack of metadata or labels limits supervised learning applications.
• Potential visual homogeneity due to the synthetic nature of Minecraft graphics.

Provenance

Source

Kaggle

Collection Method

Screenshots captured from the Minecraft video game.