datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cc0-textures
Dataset Card for CC0 Textures
Dataset Summary
This dataset contains 18,785 texture images from cc0-textures.com. It includes textures of wood, metal, concrete, fabric, stone, ceramic, and other materials. The original archives were downloaded, unpacked, and images were compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while keeping good quality.
Languages
The dataset is monolingual:
English (en): Texture titles and tags… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/cc0-textures.textureninja
Dataset Card for Texture Ninja
Dataset Summary
This dataset contains 4,540 texture images from texture.ninja. It includes high-resolution textures of brick, concrete, rock, wood, metal, paint, plaster, ground materials, and other surfaces. The original images were downloaded, processed, and compressed using PNG optimization and JPEG quality compression (90%) to reduce file size while maintaining good quality.
Languages
The dataset is monolingual:
English (en):… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/textureninja.text-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Overview
text-to-image-2M is a curated text-image pair dataset designed for fine-tuning text-to-image models. The dataset consists of approximately 2 million samples, carefully selected and enhanced to meet the high demands of text-to-image model training. The motivation behind creating this dataset stems from the observation that datasets with over 1 million samples tend to produce better… See the full description on the dataset page: https://huggingface.co/datasets/rivisia/text-to-image-2M.text-to-image-2M
text-to-image-2M: A High-Quality, Diverse Text-to-Image Training Dataset
Overview
text-to-image-2M is a curated text-image pair dataset designed for fine-tuning text-to-image models. The dataset consists of approximately 2 million samples, carefully selected and enhanced to meet the high demands of text-to-image model training. The motivation behind creating this dataset stems from the observation that datasets with over 1 million samples tend to produce better… See the full description on the dataset page: https://huggingface.co/datasets/Junaid7188/text-to-image-2M.