Photos | Urban Nightlife Concert
Yoshika Matsubara performs to a crowded auditorium in Los Angeles, CA. The deejay and entertainer put on a great show, and the urban-themed concert was enjoyed by all 43 attendants.
BLIP-2 Description:
a large crowd of people in a large roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
lighting harlem room urban tape apple baby recreation interior room child deejay los angeles historic downtown jewelry performance auditorium states night iphone november crowd club district yoshika matsubara continental concert audience party interior boy fall nightclub entertainer life historic core united california core stage pl ca entertainment fun
iso
500
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
2014-11-28T00:12:42.821000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.51%)
curation
(75.00%)
highlight visibility
(6.26%)
behavioral
(70.40%)
failure
(-1.15%)
harmonious color
(-2.74%)
immersiveness
(0.76%)
interaction
(2.00%)
interesting subject
(-40.04%)
intrusive object presence
(-3.88%)
lively color
(-26.39%)
low light
(17.43%)
noise
(-9.52%)
pleasant camera tilt
(-13.99%)
pleasant composition
(-61.77%)
pleasant lighting
(-54.10%)
pleasant pattern
(8.81%)
pleasant perspective
(-3.71%)
pleasant post processing
(-2.88%)
pleasant reflection
(-9.49%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.15%)
tastefully blurred
(-17.04%)
well chosen subject
(-2.67%)
well framed subject
(-52.98%)
well timed shot
(2.20%)
all
(-9.09%)
* 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.