Photos | Music Band Performance in a Cozy Room
Yao Hanlin and Kidd Keo lead the group of 11 musicians in a mesmerizing concert, surrounded by musical instruments, furniture, and accessories in a warm and welcoming setting.
BLIP-2 Description:
a group of musicians and musicians in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
string group cello chair music footwear triton stage ride music band yao hanlin microphone performing arts musician furniture performance korg shoe art orchestra glasses indoors pc cord electronics kidd performer tripod accessories room drummer musical instrument recreation percussion speakers laptop device musical ensemble keo concert computer leisure activities crowd drum may_art_ride electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
40mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2007-05-10T20:40:58-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.32%)
harmonious color
(2.02%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(26.88%)
intrusive object presence
(-7.52%)
lively color
(-31.13%)
low light
(98.97%)
noise
(-2.39%)
pleasant camera tilt
(-5.02%)
pleasant composition
(-66.80%)
pleasant lighting
(-50.68%)
pleasant pattern
(3.34%)
pleasant perspective
(4.84%)
pleasant post processing
(0.16%)
pleasant reflection
(4.34%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.22%)
tastefully blurred
(-23.10%)
well chosen subject
(-8.48%)
well framed subject
(-14.78%)
well timed shot
(24.04%)
all
(-4.46%)
* 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.