Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Nightclub Crowd

Nightclub Crowd

Caption

A packed house at the disco, with 15 people including 7 adult men and a child in 6 different hats.

BLIP-2 Description:

a crowd of people standing in a nightclub

Chronologically Adjacent

Previous chronologically

Next chronologically

Note: You can also navigate with your arrow keys or swiping.

Metadata

Capture date:

Tuesday, March 12th, 2002 at 1:30:15 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Astrogranite Debris

Tags

club night club junglescene headgear audience disco boy databass urban interior room baseball child concert crowd nightclub hat

Detected Text

com junglescene

Albums

Photo Archive/junglescene.com/databass_17-databass databass_17-databass_17

Places

Venues

EXIF Data:

date

2002-08-29T13:30:15-07:00

tzoffset

-28800

tzname

America/Los_Angeles

Scores

overall (9.61%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.43%)

failure (-7.98%)

harmonious color (-2.27%)

immersiveness (0.20%)

interaction (1.00%)

interesting subject (-55.86%)

intrusive object presence (-59.47%)

lively color (-13.50%)

low light (90.58%)

noise (-34.69%)

pleasant camera tilt (-15.33%)

pleasant composition (-86.08%)

pleasant lighting (-69.43%)

pleasant pattern (7.45%)

pleasant perspective (-26.88%)

pleasant post processing (3.64%)

pleasant reflection (1.47%)

pleasant symmetry (0.20%)

sharply focused subject (0.07%)

tastefully blurred (-46.80%)

well chosen subject (-2.37%)

well framed subject (-71.29%)

well timed shot (-12.89%)

all (-14.63%)

* 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.