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CringePhotography

tags: photography, sentiment analysis, emotion recognition

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'CringePhotography' dataset is a curated collection of images labeled with textual descriptions that capture the essence of discomfort, awkwardness, or any form of unsettling sentiment that an 'ugly' image prompt might evoke. This dataset can be utilized for machine learning tasks such as sentiment analysis, emotion recognition, and image classification with a focus on identifying and understanding negative emotional responses. The images have been annotated with descriptive labels to train models in recognizing visual elements associated with cringe-worthy scenarios.

CSV Content Preview:

id,image_url,description,labels
1,http://example.com/photo1.jpg,"A man in a neon-colored suit dancing in a crowded space.",overstated_fashion, social_discomfort
2,http://example.com/photo2.jpg,"A close-up of a snoring baby during a funeral.",absurd_situation, somber_situation
3,http://example.com/photo3.jpg,"A person in a tuxedo at a beach party.",inappropriate_attire, contrast_mismatch
4,http://example.com/photo4.jpg,"A teenager with pink hair performing in a conservative venue.",nonconformity, cultural_clash
5,http://example.com/photo5.jpg,"An elderly person using a modern, trendy gadget in an outdated manner.",technology_mismatch, generational_disconnect

Each row represents an image, its URL, a description that qualifies it as 'ugly' based on the given query, and labels that could be used by a machine learning model to recognize patterns associated with unpleasant visuals.

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'image prompts ugly':

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