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---
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](https://www.dpchallenge.com/) 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.
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