Photos | The Electric Crowd at Coachella 2008

Björn Vleminckx, Cole Bennett, and Elliot Giles join thousands of music enthusiasts gathered under the tent to enjoy an impressive performance amidst the sea of people, accessories, and mobile phones. #concert #music #crowd #people #outdoor #performance #coachella #headgear #hat #accessories
BLIP-2 Description:
a large crowd of people in a tentMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
room grass theater recreation cole coachella lecture wristwatch elliot giles indoors bag accessories outdoor performance jewelry auditorium glasses footwear building bennett architecture crowd björn vleminckx speech concert audience music classroom college mobile phone speakers handbag school hall bracelet headgear land hat electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-04-27T21:36:40-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.74%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.15%)
harmonious color
(-1.97%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(10.46%)
intrusive object presence
(-45.43%)
lively color
(-10.22%)
low light
(12.26%)
noise
(-0.90%)
pleasant camera tilt
(-11.33%)
pleasant composition
(-84.33%)
pleasant lighting
(-28.91%)
pleasant pattern
(4.64%)
pleasant perspective
(3.08%)
pleasant post processing
(-0.70%)
pleasant reflection
(6.05%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.42%)
tastefully blurred
(-18.32%)
well chosen subject
(-5.63%)
well framed subject
(-29.05%)
well timed shot
(25.24%)
all
(-3.42%)
* 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.