Photos | Nightlife Thrill
Kotozakura Masakatsu hyping up a massive crowd at a bustling nightclub in Los Angeles, California.
BLIP-2 Description:
a large crowd of people at a nightclubChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
continental summer celebration ca spotlight urban rock core stage arts performing states historic performance bag party iphone art jewelry district fun club audience disco angeles life interior united los light nightclub auditorium accessories room night downtown recreation august handbag spring lighting st entertainment california concert crowd apple kotozakura masakatsu
iso
320
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2016-08-19T01:32:22.145000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.49%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.21%)
failure
(-1.03%)
harmonious color
(-3.40%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-33.45%)
intrusive object presence
(-10.47%)
lively color
(-16.86%)
low light
(76.81%)
noise
(-17.63%)
pleasant camera tilt
(-11.00%)
pleasant composition
(-69.92%)
pleasant lighting
(-50.39%)
pleasant pattern
(3.93%)
pleasant perspective
(4.30%)
pleasant post processing
(-1.33%)
pleasant reflection
(-5.04%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.20%)
tastefully blurred
(-14.21%)
well chosen subject
(2.43%)
well framed subject
(-53.81%)
well timed shot
(27.10%)
all
(-5.39%)
* 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.