| --- |
| license: cc |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: id |
| dtype: int64 |
| - name: gridimage_id |
| dtype: int64 |
| - name: lat |
| dtype: float64 |
| - name: lon |
| dtype: float64 |
| - name: average |
| dtype: float64 |
| - name: variance |
| dtype: float64 |
| - name: votes |
| dtype: string |
| - name: title |
| dtype: string |
| - name: imagetaken |
| dtype: string |
| - name: image |
| dtype: image |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 24055327403.295 |
| num_examples: 211855 |
| download_size: 22904372328 |
| dataset_size: 24055327403.295 |
| --- |
| |
| --- |
| license: cc-by-sa-4.0 |
| task_categories: |
| - image-classification |
| - regression |
| tags: |
| - scenicornot |
| - geograph |
| - landscape |
| - crowdsourced |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Dataset Card for ScenicOrNot Uncompressed (Feb 26) |
| |
| ## Dataset Summary |
| The ScenicOrNot Uncompressed dataset contains crowdsourced aesthetic evaluations of landscapes across Great Britain. It originates from a collaboration between the Geograph British Isles project and the Data Science Lab at Warwick Business School. Each image has been rated by at least three human volunteers on a scale of 1 (not scenic) to 10 (very scenic). |
| |
| This repository provides the uncompressed images matched with their scenicness ratings, geographical metadata (latitude/longitude), and vote variances. |
| |
| ## Supported Tasks |
| - **Image Classification / Regression:** Predicting the aesthetic "scenicness" score of an outdoor image. |
| - **Geospatial Analysis:** Correlating visual landscape features with geographical coordinates and regional planning. |
| |
| ## Dataset Structure |
| ### Data Fields |
| - `id` (int64): Unique internal identifier for the dataset row. |
| - `gridimage_id` (int64): The specific Geograph URI/identifier for the image. |
| - `lat` (float64): The latitude coordinate of where the image was captured. |
| - `lon` (float64): The longitude coordinate of where the image was captured. |
| - `average` (float64): The mean scenic score calculated from the crowdsourced votes. |
| - `variance` (float64): The population variance of the submitted votes. |
| - `votes` (string): A comma-separated list of the individual integer scores submitted by users. |
| - `title` (string): The title or brief description of the image as provided on Geograph. |
| - `imagetaken` (string): The date the image was taken (format: YYYY-MM-DD). |
| - `image` (image): The uncompressed photograph feature. |
| - `__index_level_0__` (int64): The original index level inherited from the source dataframe. |
| |
| ### Source Data |
| Images are sourced from Geograph Britain and Ireland. The crowdsourced rating platform, Scenic-Or-Not, was originally created by mySociety and is currently maintained by the Data Science Lab at Warwick Business School. |
| |
| ## Licensing and Attribution |
| This dataset is distributed under a Creative Commons Attribution-ShareAlike (CC BY-SA) license. |
| - **Images and Metadata:** Licensed by Geograph UK contributors. |
| - **Scenic Ratings:** Licensed by the Data Science Lab UK / mySociety under the Open Database License. |
| When using this dataset, appropriate credit must be given to the original photographers via Geograph and the Data Science Lab UK. |
| |
