Photos | Funky Night at Funktion London Electricity

Deejay equipment, spotlights, and a crowd of people create the perfect atmosphere for a night of fun and music at a nightclub in London. Yukiya Arashiro, Chang Yongxiang, and Eita Okuno are just a few of the many people who enjoyed the performance.
BLIP-2 Description:
a crowd of people at a party with dj equipmentMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
instrument yukiya arashiro speaker cap room urban yongxiang recreation part turntable fun lamp london deejay spotlight back indoors accessories baseball jewelry performance pub night glasses crowd funktion club eita okuno musical concert disk audience music party interior light cup nightclub entertainer life chang bracelet hat electricity headphones electronics necklace
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2006-06-15T01:46:01-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.25%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.24%)
harmonious color
(-0.95%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-52.44%)
intrusive object presence
(-16.43%)
lively color
(-0.24%)
low light
(80.18%)
noise
(-3.08%)
pleasant camera tilt
(-11.41%)
pleasant composition
(-91.11%)
pleasant lighting
(-47.49%)
pleasant pattern
(5.10%)
pleasant perspective
(-0.23%)
pleasant post processing
(3.37%)
pleasant reflection
(0.03%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.12%)
tastefully blurred
(-2.52%)
well chosen subject
(2.80%)
well framed subject
(-65.48%)
well timed shot
(11.00%)
all
(-6.77%)
* 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.