MoMA Exhibits Reimagined as X/Y Coordinates
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About
Reimagining fine art through the lens of geometry allows for a unique digital interpretation of the Museum of Modern Art's collection. By converting physical masterpieces into thousands of individual data points, this resource transforms paintings and installations into coordinate-based maps. Each work currently on view at the museum is represented as a collection of spatial positions on a grid, enabling a novel way to "see" art through mathematical plotting and algorithmic reconstruction.
Columns
- X: The horizontal coordinate for a specific point within the image map.
- Y: The vertical coordinate for a specific point within the image map.
- URL: A direct hyperlink to the original image on the MoMA website, serving as the unique identifier for grouping coordinates to rebuild a specific artwork.
Distribution
The information is delivered in a single CSV file titled
Picture_Coords.csv with a file size of 111.11 MB. It contains 718,000 valid records with a 100% validity rate across all columns, ensuring there are no missing or mismatched entries. The resource holds a perfect usability score of 10.00 and is a static release with no further updates expected.Usage
This resource is ideal for data visualisation enthusiasts looking to create scatterplot versions of world-famous art. It is well-suited for use in software like Tableau or Python, where users can plot the X and Y columns and group by URL to reconstruct the images. Additionally, it serves as an excellent benchmark for demonstrating how large-scale coordinate data can be used to represent complex visual information in a non-traditional format.
Coverage
The scope includes artworks currently on display at the Museum of Modern Art (MoMA). It represents 49 unique works of art, providing a detailed digital footprint for each through a high density of points. The demographic focus is the global art and technology community, providing a bridge between physical museum exhibits and digital data science.
License
CC0: Public Domain
Who Can Use It
Creative coders and digital artists can leverage these coordinates to generate generative art or alternative visual interpretations of modern masterpieces. Data science educators can utilise the high record count to teach grouping, plotting, and big data handling techniques. Furthermore, museum technologists may find interest in how mathematical models can be used to archive the visual essence of physical gallery exhibits.
Dataset Name Suggestions
- Art as Dots: MoMA Coordinate Mapping
- Museum of Modern Art: Artwork Scatterplot Archive
- MoMA Exhibits Reimagined as X/Y Coordinates
- Digital Dot-Mapping of Modern Masterpieces
- MoMA Visual Geometry and Image Links
Attributes
Original Data Source: MoMA Exhibits Reimagined as X/Y Coordinates
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Download Dataset in CSV Format
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