Photos | Coachella 2008 Concert Crowd
A sea of people gather under the blue sky and among the trees to enjoy the outdoor concert at Coachella 2008. With eight booming speakers and a lively music band on stage, the energetic crowd can't help but dance and sing along to the music.
BLIP-2 Description:
a large crowd of people watching a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
instrument speaker activities band hill car vehicle sky musician plant tree coachella bicycle transportation bag accessories cord performer outdoor jockeya glasses footwear crowd musical nadisc concert audience music hirsch speakers handbag mary t. meagher stage land leisure hat aleksey obmochaev group performance electronics shoe
iso
100
metering mode
5
aperture
f/8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-04-25T13:25:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.50%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.20%)
harmonious color
(-1.02%)
immersiveness
(1.76%)
interaction
(1.00%)
interesting subject
(-31.18%)
intrusive object presence
(-26.07%)
lively color
(-6.57%)
low light
(0.54%)
noise
(-0.83%)
pleasant camera tilt
(-11.84%)
pleasant composition
(-81.64%)
pleasant lighting
(-19.41%)
pleasant pattern
(7.42%)
pleasant perspective
(3.44%)
pleasant post processing
(-1.93%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.39%)
tastefully blurred
(0.75%)
well chosen subject
(2.38%)
well framed subject
(-48.07%)
well timed shot
(5.10%)
all
(-3.36%)
* 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.