Photos | Coachella 2009 Crowd
A sea of people gathered at Coachella 2009, including Haroun, Mónica Mesalles, Melanie Robillard, Christin Priebst, Cynthia Phaneuf, and Christin Priebst. The crowd is enjoying the music and the beautiful outdoor setting, complete with trees and grass. Many are sporting sunglasses and accessories, and there are plenty of stylish hats and wristwatches on display.
BLIP-2 Description:
a large crowd of people at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
phone bracelet glasses outdoor mobile melanie robillard mónica footwear grass bride sky coachella priebst tree chair jewelry concert haroun wedding electronics shoe cynthia phaneuf (ball) plant mesalles ball wristwatch camping baseball sunglasses sport hat speech furniture audience accessories christin crowd land
iso
100
metering mode
5
aperture
f/5.6
focal length
35mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(43.04%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.37%)
harmonious color
(-1.50%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(27.25%)
intrusive object presence
(-6.84%)
lively color
(-7.97%)
low light
(3.30%)
noise
(-1.07%)
pleasant camera tilt
(-9.84%)
pleasant composition
(-40.19%)
pleasant lighting
(-36.99%)
pleasant pattern
(15.72%)
pleasant perspective
(8.16%)
pleasant post processing
(4.41%)
pleasant reflection
(0.80%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.32%)
tastefully blurred
(-11.58%)
well chosen subject
(-3.67%)
well framed subject
(-34.06%)
well timed shot
(27.27%)
all
(1.01%)
* 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.