Photos | Microphone Magic at the Club

A group of 17 people, including 4 men and 5 adults, gather around two microphones and speakers to enjoy the deejay's music and entertainment at a lively nightclub. Accessories like hats, handbags, and jewelry complement their clothing, adding to the urban vibe of the indoor party.
BLIP-2 Description:
a group of people standing around a microphoneMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting instrument cap speaker room urban activities band device recreation fun musician t-shirt deejay bag accessories performer photography baseball jewelry performance night footwear crowd musical instrument club musical guitar concert music portrait party interior disco junglescene cup nightclub entertainer dub electrical speakers life handbag bracelet headgear leisure hat microphone group performance electronics necklace steve shoe
Detected Text
date
2002-08-29T14:42:50-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.08%)
curation
(65.33%)
highlight visibility
(5.53%)
behavioral
(70.55%)
failure
(-0.83%)
harmonious color
(-2.01%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-64.40%)
intrusive object presence
(-12.77%)
lively color
(-10.31%)
low light
(99.95%)
noise
(-8.23%)
pleasant camera tilt
(-11.80%)
pleasant composition
(-88.09%)
pleasant lighting
(-75.59%)
pleasant pattern
(2.83%)
pleasant perspective
(-12.82%)
pleasant post processing
(4.19%)
pleasant reflection
(5.01%)
pleasant symmetry
(0.05%)
sharply focused subject
(0.15%)
tastefully blurred
(-8.13%)
well chosen subject
(-17.98%)
well framed subject
(-66.26%)
well timed shot
(-8.94%)
all
(-13.15%)
* 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.