Photos | Nightclub Crowd Goes Wild for Pizza and Respect
![Nightclub Crowd Goes Wild for Pizza and Respect](https://eecue.com/img/640/8db958481c.jpg)
This urban club was packed with 23 people, all eager for a night of fun, drinking, and dancing to the beat of four booming speakers. Amidst the sea of bodies, three men took to the stage, their faces lit up in the spotlight as they spoke about respect. Despite the serious tone, the night was still filled with plenty of jewelry, accessories, and stylish clothing, like wristwatches, hats, and necklaces. The party raged on late into the night, fueled by pizza, alcohol, and the high-energy atmosphere of this bustling nightclub.
BLIP-2 Description:
a crowd of people in a room with a stage and a microphoneMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban wheel lamp night bracelet party glasses child cap footwear bag respect interior necklace respect_and_pizza counter jewelry pub lighting electronics shoe handbag nightclub back boy helmet bar room spotlight wristwatch beverage pizza speaker machine hat life light audience club alcohol accessories fun crowd part
iso
100
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
overall
(29.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-1.05%)
harmonious color
(0.07%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-43.21%)
intrusive object presence
(-8.96%)
lively color
(5.79%)
low light
(85.16%)
noise
(-5.08%)
pleasant camera tilt
(-13.92%)
pleasant composition
(-78.47%)
pleasant lighting
(-34.86%)
pleasant pattern
(6.40%)
pleasant perspective
(-13.57%)
pleasant post processing
(0.81%)
pleasant reflection
(-2.54%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.27%)
tastefully blurred
(-6.52%)
well chosen subject
(-15.32%)
well framed subject
(-56.59%)
well timed shot
(-6.45%)
all
(-7.55%)
* 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.