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.