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Datasets:
ThePioneer
/
japanese-photos-2-with-vids

Modalities:
Image
Languages:
English
Japanese
Size:
10K<n<100K
License:
Dataset card Data Studio Files Community
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Japan Diverse Images Dataset

Overview

This dataset is a comprehensive collection of high-quality images (and some videos) capturing the diverse aspects of Japan, including urban landscapes, natural scenery, historical sites, contemporary art, everyday life, and culinary experiences. It is designed to provide a rich and varied representation of Japan for AI training purposes.

Note that the photos were taken by myself in the 2020s, mainly from 2024 to 2025, with some exceptions.

Dataset Contents

The dataset includes images of:

  • Urban scenes from various Japanese cities
  • Mountains, rivers, and coastal areas
  • Rural landscapes and countryside views
  • Historical and cultural landmarks
  • Art galleries and exhibitions
  • Unique and unusual sights
  • Everyday life in Japan
  • Food and drink, including menus from restaurants, bars, and cafes

Purpose

This dataset is intended for use in training and evaluating AI models to recognize and understand various aspects of Japanese culture, geography, and daily life. It can be utilized for tasks such as image recognition, scene understanding, cultural analysis, image generation, and more.

License

This dataset is released under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. This means you can copy, modify, distribute, and perform the work, even for commercial purposes, all without asking permission.

For more information on CC0, please visit: https://creativecommons.org/publicdomain/zero/1.0/

Dataset Statistics

Images

  • Total number of images: 10438
  • Image format: JPEG
  • Resolution range: around 4k quality
  • Total size: around 25.0GB

Videos

  • Total number of videos: 11
  • Video format: MP4
  • Resolution range: around 4k quality
  • Total size: around 492MB

Usage

To use this dataset:

  1. Download the zip file from Hugging Face.
  2. Load the images/videos using your preferred image processing library.
  3. Add captions using BLIP or LLMs if necessary.

Contributions

While this dataset is released under CC0, we appreciate attributions.

Contact

For questions or more information about this dataset, please contact The Pioneer on X.

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