Photos | Rocking the Night Away

Denis Flahaut and Takahiro Sakurai put on an electrifying performance with Tyler Glenn at a crowded rock concert in an urban nightclub, showcasing their bold clothing choices and hats.
BLIP-2 Description:
two men on stage with a crowd watchingMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
lighting instrument takahiro cap room urban activities band device recreation musician deejay wristwatch accessories performing performer rock baseball jewelry performance tyler glenn night glasses footwear solo performance crowd necklace club musical concert audience music interior sakurai bride nightclub entertainer electrical life denis flahaut bracelet headgear stage arts leisure hat art microphone group performance wedding shoe
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2006-09-03T22:58:15-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.90%)
harmonious color
(-2.19%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-39.14%)
intrusive object presence
(-8.18%)
lively color
(-14.73%)
low light
(99.22%)
noise
(-6.71%)
pleasant camera tilt
(-8.28%)
pleasant composition
(-74.76%)
pleasant lighting
(-67.33%)
pleasant pattern
(6.47%)
pleasant perspective
(-1.35%)
pleasant post processing
(3.60%)
pleasant reflection
(-3.57%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.22%)
tastefully blurred
(-8.40%)
well chosen subject
(-14.71%)
well framed subject
(-36.35%)
well timed shot
(14.61%)
all
(-8.42%)
* 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.