Photos | Partygoers Grooving with the DJ
Crowd of people surround DJ Lee Dong-jun as he amps up the party with his beats, while Iwakiyama Ryūta, Motonobu Tanishige, and Chang Hao vibe with the music. The urban crowd is dressed in stylish clothing, including jeans and a variety of headgear, while enjoying the performance on the turntable and speakers.
BLIP-2 Description:
a crowd of people standing around a dj playing musicMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban instrument factory iwakiyama turntable recreation regal jeans party music glasses cap camera footwear lee dong-jun chang deejay musical ryūta motonobu tanishige entertainer headphones pub arch table building electronics steve j shoe desk pants cup beverage performance architecture speaker baseball hat furniture club fun accessories alcohol headgear indoors speakers hao crowd
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(32.93%)
curation
(68.18%)
highlight visibility
(5.74%)
behavioral
(70.53%)
failure
(-0.22%)
harmonious color
(-2.71%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-41.21%)
intrusive object presence
(-9.55%)
lively color
(-3.02%)
low light
(64.11%)
noise
(-1.56%)
pleasant camera tilt
(-8.09%)
pleasant composition
(-80.86%)
pleasant lighting
(-35.18%)
pleasant pattern
(5.20%)
pleasant perspective
(6.71%)
pleasant post processing
(2.48%)
pleasant reflection
(1.68%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.37%)
tastefully blurred
(0.67%)
well chosen subject
(-5.55%)
well framed subject
(-54.39%)
well timed shot
(5.96%)
all
(-4.87%)
* 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.