Datasets:

iamkaikai
/

dpchallenge

language:
  - en
size_categories:
  - 100K<n<1M
task_categories:
  - image-classification
pretty_name: DPChallenge Photo Metadata Dataset
tags:
  - photography
  - image-quality
  - human-labels
  - ratings
  - Evaluation

DPChallenge Photo Metadata Dataset

Dataset Description

This dataset contains metadata and statistics from DPChallenge, a photography community platform where photographers participate in themed challenges and receive peer ratings.

Key Features:

Valuable Human Labels: Contains human-scored quality ratings from multiple rater groups (all users, commenters, participants, non-participants)
Collection Date: Dec 2025
Data Quality:
- Only includes images with complete statistics
- Scores validated and corrected for parsing errors (original scrape had ~1,400 rows with incorrectly parsed scores from user comments)
- Score range: 2.0 - 8.6 (realistic competition scores)

Note: In all columns, a value of 0 represents N/A (not available/not applicable).

Dataset Structure

Data Splits

Train: 184,895 images (90%)
Test: 20,544 images (10%)

The test set is stratified by score bins (0-4, 5-6, 7-10) to ensure even distribution of image quality ratings.

Features

image_id (int): Unique identifier for the image
gallery_id (int): Challenge/gallery identifier
gallery_name (string): Name of the challenge/gallery
title (string): Photo title
photographer (string): Photographer username
challenge (string): Challenge theme
editing_rule (string): Editing rules (Basic/Advanced)
camera (string): Camera and lens information
location (string): Photo location
date_uploaded (string): Upload date
place (string): Additional location details
total_entries (int): Total entries in the challenge
avg_all_users (float): Average rating from all users (0-10 scale)
avg_commenters (float): Average rating from commenters
avg_participants (float): Average rating from challenge participants
avg_nonparticipants (float): Average rating from non-participants
views_since_voting (int): Views after voting period
views_during_voting (int): Views during voting period
votes (int): Number of votes received
comments_count (int): Number of comments
favorites_count (int): Number of times favorited
image (Image): The actual image file
has_statistics (bool): Whether full statistics are available

Score Distribution

The dataset uses stratified sampling based on rounded avg_all_users scores (the main quality metric):

0-4: Low-rated images
5-6: Medium-rated images
7-8+: High-rated images (max score in dataset is ~8.6)

Most scores fall in the 4-7 range, with very few extreme scores. This reflects real-world photography competition dynamics where truly exceptional images are rare.

Rating Statistics

Statistics for human label scores across the dataset:

Metric	Min	Max	Mean	Std
`avg_all_users`	2.00	8.60	5.45	0.73
`avg_commenters`	1.00	10.00	6.28	1.32
`avg_participants`	1.77	9.33	5.29	0.75
`avg_nonparticipants`	1.96	8.62	5.57	0.74

Note: avg_all_users is used as the primary splitting criterion for stratified train/test split to ensure balanced quality distribution.

Source Data

Data scraped from DPChallenge public photo galleries. This dataset includes both images and metadata.

Citation

If you use this dataset, please cite DPChallenge as the source of the data:

DPChallenge Photography Community
https://www.dpchallenge.com/

License

This dataset contains metadata from publicly available information on DPChallenge. Images remain the property of their respective photographers. Please respect copyright and usage terms.