Photos | Spotlight on Song Xiaobao
A packed crowd watches as performer Song Xiaobao takes center stage at the 2010 Cochella Friday concert, bathed in a bright light and surrounded by speakers.
BLIP-2 Description:
a man on stage with a crowd of people watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet group activities spotlight urban leisure rock song music speaker footwear eos mobile xiaobao stage crowd musician volleyball performance shoe ii glasses friday indoors audience ball (ball) life interior mark rekognition_c electronics theater jewelry performer sport light nightclub accessories room musical instrument night recreation band april spring speakers canon lighting part phone back concert cochella
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2010-04-16T20:41:29.780000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.34%)
harmonious color
(0.75%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-42.90%)
intrusive object presence
(-10.96%)
lively color
(-18.07%)
low light
(74.61%)
noise
(-2.08%)
pleasant camera tilt
(-11.92%)
pleasant composition
(-89.84%)
pleasant lighting
(-41.63%)
pleasant pattern
(6.15%)
pleasant perspective
(-5.22%)
pleasant post processing
(-1.19%)
pleasant reflection
(-0.82%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.17%)
tastefully blurred
(-13.62%)
well chosen subject
(-16.08%)
well framed subject
(-61.57%)
well timed shot
(7.39%)
all
(-8.13%)
* 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.