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.