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--- |
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language: |
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- en |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- image-classification |
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pretty_name: DPChallenge Photo Metadata Dataset |
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tags: |
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- photography |
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- image-quality |
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- human-labels |
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- ratings |
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- Evaluation |
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--- |
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# DPChallenge Photo Metadata Dataset |
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## Dataset Description |
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This dataset contains metadata and statistics from DPChallenge, a photography community platform where photographers participate in themed challenges and receive peer ratings. |
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**Key Features:** |
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- **Valuable Human Labels**: Contains human-scored quality ratings from multiple rater groups (all users, commenters, participants, non-participants) |
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- **Collection Date**: Dec 2025 |
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- **Data Quality**: |
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- Only includes images with complete statistics |
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- Scores validated and corrected for parsing errors (original scrape had ~1,400 rows with incorrectly parsed scores from user comments) |
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- Score range: 2.0 - 8.6 (realistic competition scores) |
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**Note**: In all columns, a value of `0` represents N/A (not available/not applicable). |
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## Dataset Structure |
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### Data Splits |
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- **Train**: 184,895 images (90%) |
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- **Test**: 20,544 images (10%) |
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The test set is stratified by score bins (0-4, 5-6, 7-10) to ensure even distribution of image quality ratings. |
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### Features |
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- `image_id` (int): Unique identifier for the image |
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- `gallery_id` (int): Challenge/gallery identifier |
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- `gallery_name` (string): Name of the challenge/gallery |
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- `title` (string): Photo title |
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- `photographer` (string): Photographer username |
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- `challenge` (string): Challenge theme |
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- `editing_rule` (string): Editing rules (Basic/Advanced) |
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- `camera` (string): Camera and lens information |
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- `location` (string): Photo location |
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- `date_uploaded` (string): Upload date |
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- `place` (string): Additional location details |
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- `total_entries` (int): Total entries in the challenge |
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- `avg_all_users` (float): Average rating from all users (0-10 scale) |
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- `avg_commenters` (float): Average rating from commenters |
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- `avg_participants` (float): Average rating from challenge participants |
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- `avg_nonparticipants` (float): Average rating from non-participants |
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- `views_since_voting` (int): Views after voting period |
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- `views_during_voting` (int): Views during voting period |
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- `votes` (int): Number of votes received |
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- `comments_count` (int): Number of comments |
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- `favorites_count` (int): Number of times favorited |
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- `image` (Image): The actual image file |
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- `has_statistics` (bool): Whether full statistics are available |
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### Score Distribution |
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The dataset uses stratified sampling based on rounded `avg_all_users` scores (the main quality metric): |
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- **0-4**: Low-rated images |
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- **5-6**: Medium-rated images |
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- **7-8+**: High-rated images (max score in dataset is ~8.6) |
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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. |
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### Rating Statistics |
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Statistics for human label scores across the dataset: |
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| Metric | Min | Max | Mean | Std | |
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|--------|-----|-----|------|-----| |
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| `avg_all_users` | 2.00 | 8.60 | 5.45 | 0.73 | |
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| `avg_commenters` | 1.00 | 10.00 | 6.28 | 1.32 | |
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| `avg_participants` | 1.77 | 9.33 | 5.29 | 0.75 | |
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| `avg_nonparticipants` | 1.96 | 8.62 | 5.57 | 0.74 | |
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**Note**: `avg_all_users` is used as the primary splitting criterion for stratified train/test split to ensure balanced quality distribution. |
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## Source Data |
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Data scraped from [DPChallenge](https://www.dpchallenge.com/) public photo galleries. This dataset includes both images and metadata. |
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## Citation |
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If you use this dataset, please cite DPChallenge as the source of the data: |
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``` |
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DPChallenge Photography Community |
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https://www.dpchallenge.com/ |
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``` |
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## License |
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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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