Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Dancing Queen at the Nightclub

Dancing Queen at the Nightclub

Caption

Amidst a lively crowd, one person boogies down while donning two hats and surrounded by urban accessories at a nightclub on February 28th, 2002.

BLIP-2 Description:

a crowd of people at a party with one person dancing

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Metadata

Capture date:

Thursday, February 28th, 2002 at 1:27:02 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

bracelet bride urban pub wedding hat night club party fun club junglescene glasses disco interior jewelry respect accessories nightclub room concert crowd

Detected Text

com junglescene

Albums

Photo Archive/junglescene.com/respect_2_28_02-resp respect_2_28_02-respect_2_28_02

Places

Venues

EXIF Data:

date

2002-08-29T13:27:02-07:00

tzoffset

-28800

tzname

America/Los_Angeles

Scores

overall (8.85%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.32%)

failure (-6.45%)

harmonious color (-3.55%)

immersiveness (0.17%)

interaction (1.00%)

interesting subject (-72.66%)

intrusive object presence (-11.79%)

lively color (-5.45%)

low light (91.60%)

noise (-11.04%)

pleasant camera tilt (-9.38%)

pleasant composition (-81.98%)

pleasant lighting (-60.64%)

pleasant pattern (2.59%)

pleasant perspective (-10.38%)

pleasant post processing (-2.11%)

pleasant reflection (2.37%)

pleasant symmetry (0.12%)

sharply focused subject (0.44%)

tastefully blurred (-39.99%)

well chosen subject (-16.77%)

well framed subject (-60.64%)

well timed shot (-11.15%)

all (-12.96%)

* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little... weird.

* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301 from OpenAI) based on a BLIP-2 image-to-text labeling, tags, location, people and album metadata from the image and are potentially inaccurate, often hilariously so. If you'd like me to adjust anything, just reach out.