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- I agree not to attempt to identify photographed individuals: checkbox
- Won’s Open-world Natural-scene Photographic Image Collection
- Overview
- Dataset Characteristics
- Image Content
- Metadata
- Access
- Loading the Dataset
- Permitted Uses
- Prohibited Uses
- Privacy and Ethical Considerations
- Biases and Limitations
- License
- Citation
- Version History
- Contact
pretty_name: "WONPIC-M50" license: other license_name: "WONPIC-M50 Research Use License 1.0" license_link: "LICENSE.md"
tags:
- image
- photography
- travel
- computer-vision
- computational-photography
- geolocation
- canon-eos-m50
size_categories:
- 1K<n<10K
extra_gated_heading: "Request access to WONPIC-M50"
extra_gated_description: > Please provide your affiliation and intended use. Access requests are reviewed manually.
extra_gated_button_content: "Submit access request"
extra_gated_prompt: > By requesting access, you agree to comply with the WONPIC-M50 Research Use License and the usage conditions described in this dataset card.
extra_gated_fields: Affiliation: text
Country: country
Intended use: type: select options:
- Academic research
- Education
- Non-commercial personal project
- Other
Project or research description: text
I agree to the WONPIC-M50 Research Use License: checkbox
I agree not to redistribute the original dataset: checkbox
I agree not to attempt to identify photographed individuals: checkbox
WONPIC-M50
Won’s Open-world Natural-scene Photographic Image Collection
WONPIC-M50 is a diverse travel photography dataset captured by Jiyun Won using a Canon EOS M50.
The dataset contains more than 1,000 photographs collected across multiple countries, cities, seasons, times of day, and visual environments. The images represent naturally occurring travel scenes rather than images collected under a controlled laboratory setup.
Overview
WONPIC-M50 was created to support research involving real-world photography and computational imaging.
Potential applications include:
- Computational photography
- Image restoration and enhancement
- Image quality assessment
- Camera and ISP analysis
- Image geolocation
- Visual recognition
- Representation learning
- Robustness and generalization evaluation
WONPIC-M50 is not designed as a task-specific benchmark and does not define an official training, validation, or test split in its initial release.
Dataset Characteristics
- Creator: Jiyun Won
- Camera: Canon EOS M50
- Modality: Still photography
- Image format: JPEG
- Collection type: Real-world travel photography
- Number of images: More than 1,000
- Photographer count: One
- Capture conditions: Uncontrolled real-world environments
- Release version: 1.0
- Release year: 2026
Image Content
The dataset includes a variety of travel-related scenes, which may include:
- Natural landscapes
- Urban environments
- Streets and transportation
- Buildings and architecture
- Indoor and outdoor scenes
- Daytime and nighttime photography
- Images captured under different weather and lighting conditions
- Everyday objects, food, signs, and cultural environments
The geographic and semantic distributions are not balanced.
Metadata
Depending on availability, the images may include metadata such as:
- Capture date and time
- Country, city, or region
- Geographic coordinates
- Camera model
- Lens information
- ISO sensitivity
- Exposure time
- Aperture
- Focal length
- Image dimensions
Some metadata fields may be missing for individual images. Users should not assume that every image contains complete or equally precise metadata.
Geographic information should be used responsibly and must not be used to infer sensitive personal locations or individual travel patterns.
Access
WONPIC-M50 is distributed as a gated dataset.
To request access:
- Sign in to a Hugging Face account.
- Complete the access request form.
- Describe your affiliation and intended use.
- Agree to the dataset license and usage conditions.
- Wait for the request to be reviewed.
Access is granted to individual Hugging Face accounts and must not be shared with other individuals.
The dataset creator may approve, reject, or revoke access at their discretion.
Loading the Dataset
After receiving access, authenticate through the Hugging Face CLI:
hf auth login
The dataset can then be loaded with the Hugging Face datasets
library:
from datasets import load_dataset
dataset = load_dataset(
"jiyunwon/WONPIC-M50",
split="train",
token=True,
)
print(dataset)
print(dataset[0])
Users may also download the repository through the Hugging Face CLI:
hf download jiyunwon/WONPIC-M50 \
--repo-type dataset \
--local-dir WONPIC-M50
Permitted Uses
Subject to the terms in LICENSE.md, permitted uses include:
- Non-commercial academic research
- Educational use
- Training and evaluating computer-vision models
- Analysis of image formation, camera metadata, or photographic quality
- Publication of aggregate experimental results
- Publication of derived models that do not reproduce or redistribute the original images
Prohibited Uses
The following uses are prohibited:
- Redistribution or public rehosting of the original images
- Commercial use without separate written permission
- Face recognition, identity inference, or person re-identification
- Surveillance or profiling of photographed individuals
- Inferring private or sensitive personal information
- Harassment, discrimination, or other harmful applications
- Claiming ownership of the original photographs
- Using the dataset in violation of applicable laws or regulations
Privacy and Ethical Considerations
The images were captured in real-world travel environments and may incidentally include bystanders, vehicles, signs, artwork, buildings, or other third-party content.
Users must not attempt to:
- Identify photographed individuals
- Contact or track photographed individuals
- Recover private information from visible content or metadata
- Associate individuals with sensitive attributes
- Use location metadata for surveillance or profiling
Users who discover sensitive, inappropriate, or personally identifying content should stop using the affected file and report it to the dataset creator.
See DATA_REMOVAL.md for removal and privacy-related requests.
Biases and Limitations
WONPIC-M50 reflects:
- The travel history of a single photographer
- The photographer’s preferences and framing choices
- The characteristics of one camera system
- Uneven geographic coverage
- Uneven seasonal and temporal coverage
- Uneven representation of scene categories
- Camera-specific JPEG processing
- Potential selection bias toward visually interesting scenes
The dataset should not be interpreted as a representative sample of the world, any country, population, culture, or demographic group.
Results obtained using this dataset may not generalize to other photographers, cameras, regions, or image-processing pipelines.
License
WONPIC-M50 is provided under the WONPIC-M50 Research Use License 1.0.
Review LICENSE.md before requesting access or using the dataset.
The photographs remain copyrighted by Jiyun Won. Access to the dataset does not transfer ownership of the images.
Citation
When using WONPIC-M50 in a publication, report, project, or derived dataset, cite it as follows:
@dataset{won2026wonpicm50,
author = {Won, Jiyun},
title = {WONPIC-M50: Won's Open-world Natural-scene Photographic Image Collection},
year = {2026},
publisher = {Hugging Face},
version = {1.0}
}
Citation information may be updated when an associated paper or persistent DOI becomes available.
Version History
Version 1.0 — 2026
- Initial public dataset card
- Initial gated release
- More than 1,000 Canon EOS M50 travel photographs
- Associated photographic and location metadata where available
Contact
For dataset access, licensing, privacy, or removal inquiries, contact:
Jiyun Won
Email: [add your contact email]
When reporting a specific image, include its file name and a brief description of the issue.
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