Photos | Nightclub Entertainment

Andreas Kisser, Jeff T, and Ryan K perform as a crowd of six people gather around the DJ in a lively urban nightclub. A woman in a hat stands with a handbag as the performers bring the club to life.
BLIP-2 Description:
a man and woman standing in front of a djMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker room bird urban percussion activities undershirt device recreation jeans musician enterprise deejay drum beverage bag accessories performer jeff night club animal performance pub drummer crowd musical club concert music ryan k interior bar bar counter nightclub entertainer piano alcohol electrical handbag andreas kisser leisure hat fence headphones microphone keyboard electronics
Detected Text
iso
100
metering mode
5
aperture
f/4.5
focal length
17mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2006-06-30T02:06:52-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.00%)
curation
(68.27%)
highlight visibility
(5.75%)
behavioral
(70.55%)
failure
(-0.93%)
harmonious color
(-2.08%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-30.66%)
intrusive object presence
(-7.47%)
lively color
(-13.93%)
low light
(97.95%)
noise
(-6.35%)
pleasant camera tilt
(-12.77%)
pleasant composition
(-67.87%)
pleasant lighting
(-58.15%)
pleasant pattern
(4.93%)
pleasant perspective
(-11.68%)
pleasant post processing
(0.94%)
pleasant reflection
(-1.37%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.17%)
tastefully blurred
(-22.58%)
well chosen subject
(-32.23%)
well framed subject
(-28.13%)
well timed shot
(-4.81%)
all
(-10.66%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.