Photos | Spotlight on the Stage

Michael White, Hércules Brito Ruas, Nick Afanasiev, and Jack Duarte perform under the bright lights and in front of a massive crowd at the 2011 Coachella concert.
BLIP-2 Description:
a crowd of people at a concert with a man on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture nick afanasiev headgear duarte spotlight ruas classroom building music speaker footwear stage lamp transportation hat outdoor performance hércules shoe venue hardware hall glasses friday indoors audience coachella school bicycle electronics theater vehicle screen arena light auditorium accessories monitor room recreation speakers sports lighting brito michael white jack concert computer crowd
Detected Text
iso
800
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2011-04-15T17:11:29.420000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.53%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.20%)
harmonious color
(1.12%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(13.16%)
intrusive object presence
(-19.24%)
lively color
(-24.55%)
low light
(38.84%)
noise
(-1.78%)
pleasant camera tilt
(-14.23%)
pleasant composition
(-77.64%)
pleasant lighting
(-48.24%)
pleasant pattern
(8.15%)
pleasant perspective
(13.12%)
pleasant post processing
(-5.84%)
pleasant reflection
(-0.85%)
pleasant symmetry
(3.17%)
sharply focused subject
(0.12%)
tastefully blurred
(-1.36%)
well chosen subject
(8.77%)
well framed subject
(-34.79%)
well timed shot
(19.12%)
all
(-3.98%)
* 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.