Photos | Nightclub Crowd with DJ

A lively group of 14 people wearing urban clothing and headgear gather around the DJ at a nightclub in 2003. The crowd includes two women, three females, four men, five males, and a bride. Several people are wearing baseball caps and two hats, along with a variety of accessories such as necklaces, bracelets, and glasses. The scene captures the energy and fun of a night out with friends.
BLIP-2 Description:
a group of people standing around a djMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet jeans headgear necklace bride boy pants urban pub baseball bar footwear cap beverage wedding outdoors hat night club counter shoe bag party old fun club alcohol junglescene glasses teen illeyezuh disco audience life interior nature jewelry respect accessories nightclub room night handbag concert crowd
Detected Text
date
2003-01-17T10:34:01-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.53%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-2.17%)
harmonious color
(-1.98%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-56.45%)
intrusive object presence
(-6.32%)
lively color
(-0.37%)
low light
(99.95%)
noise
(-16.58%)
pleasant camera tilt
(-8.42%)
pleasant composition
(-78.03%)
pleasant lighting
(-72.12%)
pleasant pattern
(3.93%)
pleasant perspective
(-9.38%)
pleasant post processing
(3.74%)
pleasant reflection
(1.86%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.24%)
tastefully blurred
(-10.44%)
well chosen subject
(-17.19%)
well framed subject
(-50.73%)
well timed shot
(-8.52%)
all
(-11.46%)
* 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.