Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Raising the Roof at the Night Club

Raising the Roof at the Night Club

Caption

The woman in the tan jacket celebrates with friends at the club, showing off her shirt and raising her arms in excitement.

BLIP-2 Description:

a woman in a tan jacket is holding up her arms

Chronologically Adjacent

Previous chronologically

Next chronologically

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

Metadata

Capture date:

Saturday, October 26th, 2002 at 5:31:32 PM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

sleeve shirt club coat junglescene long part urban muse photography night portrait window baby old hat

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/muse_10_25_02 muse_10_25_02

Places

Venues

EXIF Data:

date

2002-10-26T17:31:32-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (8.86%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.41%)

failure (-7.20%)

harmonious color (-3.90%)

immersiveness (0.42%)

interaction (1.00%)

interesting subject (-66.94%)

intrusive object presence (-25.49%)

lively color (-10.03%)

low light (94.53%)

noise (-4.54%)

pleasant camera tilt (-5.26%)

pleasant composition (-67.33%)

pleasant lighting (-58.25%)

pleasant pattern (1.78%)

pleasant perspective (-13.46%)

pleasant post processing (-1.63%)

pleasant reflection (3.50%)

pleasant symmetry (0.29%)

sharply focused subject (1.00%)

tastefully blurred (-32.89%)

well chosen subject (-33.89%)

well framed subject (-25.34%)

well timed shot (-12.85%)

all (-12.80%)

* 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.