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:
bracelet activities headgear bride necklace takahiro urban rock tyler glenn baseball leisure music footwear cap stage wedding arts microphone hat wristwatch performing musician entertainer performance shoe art club sakurai glasses audience life interior deejay jewelry performer denis flahaut group performance accessories nightclub solo performance room night musical recreation band instrument lighting device concert crowd electrical
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.