Reddit Photo Critique Dataset (RPCD)

Computational inference of aesthetics is an ill-defined task due to its subjective nature. Many datasets have been proposed to tackle the problem by providing pairs of images and aesthetic scores based on human ratings. However, humans are better at expressing their opinion, taste, and emotions by means of language rather than summarizing them in a single number. In fact, photo critiques provide much richer information as they reveal how and why users rate the aesthetics of visual stimuli. In this regard, we propose the Reddit Photo Critique Dataset (RPCD), which contains tuples of image and photo critiques. RPCD consists of 74K images and 220K comments and is collected from a Reddit community used by hobbyists and professional photographers to improve their photography skills by leveraging constructive community feedback. The proposed dataset differs from previous aesthetics datasets mainly in three aspects, namely (i) the large scale of the dataset and the extension of the comments criticizing different aspects of the image, (ii) it contains mostly UltraHD images, and (iii) it can easily be extended to new data as it is collected through an automatic pipeline. This dataset was published as part of our paper Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment in Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (2022).

Information about how to download the data and build the dataset can be found here: external page https://github.com/mediatechnologycenter/aestheval

As a temporary solution, the full dataset can be downloaded here: external page https://form.jotform.com/231873787831368