Photos | Coachella 2009 Concert Excitement
A massive crowd fills the tent as they cheer on a band at Coachella 2009, with Vivian Velez, Eddie Griffin, and Yoku Hata among the 21 people in attendance. The spotlight shines on the musicians, while the audience is bathed in colorful lights and electrically charged energy.
BLIP-2 Description:
a large crowd of people in a tent watching a bandChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
architecture yoku hata spotlight classroom building lecture speaker footwear stage vivian velez microphone hat eddie shoe bag griffin hall glasses indoors coachella audience airport school cord electronics theater light accessories room auditorium handbag lighting device terminal concert crowd electrical
iso
100
metering mode
5
aperture
f/4
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2009-04-19T16:03:12.980000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-0.39%)
harmonious color
(0.24%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-9.13%)
intrusive object presence
(-4.81%)
lively color
(-15.43%)
low light
(69.43%)
noise
(-1.46%)
pleasant camera tilt
(-10.39%)
pleasant composition
(-43.97%)
pleasant lighting
(-37.74%)
pleasant pattern
(24.85%)
pleasant perspective
(4.21%)
pleasant post processing
(-1.86%)
pleasant reflection
(1.12%)
pleasant symmetry
(2.93%)
sharply focused subject
(0.39%)
tastefully blurred
(0.30%)
well chosen subject
(-2.82%)
well framed subject
(-26.05%)
well timed shot
(6.74%)
all
(-1.74%)
* 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.