Full description
This is a dataset of 53 line-drawing images, created using an agent-based generative model. The dataset includes a personal aesthetic ranking of each image. For information on how the images were made, please see the paper: McCormack, J. (2010): Enhancing Creativity with Niche Construction in Fellerman, H. et al. (eds), Artificial Life XII, pp. 525-532, MIT Press, Cambridge, MA. (pdf: http://users.monash.edu/~jonmc/research/Papers/Artificial_Life_XII_McCormack.pdf)The nc-images.csv file contains the name of each image and its aesthetic score. The full resolution images are in nc-images.tgz. The catalogue png and jpg images give overviews of each image class.
Issued: 2021-01-29
Created: 2021-05-06
Subjects
Aesthetic evaluation |
Artificial Intelligence and Image Processing |
Artificial Life |
Electronic Media Art |
Generative art |
agent-based model |
bio-inspired |
complexity |
ecosystem model |
evolutionary art |
evolutionary computing |
line drawing |
niche construction |
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Identifiers
- DOI : 10.26180/13662383.V3