Photos | Coachella 2009: A Sea of Smiling Faces

The crowd at Coachella 2009 gathered on the hill, under a bright blue sky, for a day of music, fun, and recreation. Among the 33 people captured in this photo are Aaron Douglas, Aaron Guiel, and Nena, along with 30 other festival-goers, young and old. The audience was a mix of 4 men and 29 women, all dressed in colorful and stylish clothing, hats, and accessories. Some were capturing the moment with their mobile phones, while others were simply enjoying the music and the company of friends. The energy in the air was electric, and the smiles on everyone's faces said it all.
BLIP-2 Description:
a crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2009-04-17T18:33:15.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.75%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-1.03%)
harmonious color
(5.66%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-24.93%)
intrusive object presence
(-15.92%)
lively color
(-6.70%)
low light
(38.45%)
noise
(-1.61%)
pleasant camera tilt
(-8.20%)
pleasant composition
(-48.19%)
pleasant lighting
(-12.30%)
pleasant pattern
(6.64%)
pleasant perspective
(-1.03%)
pleasant post processing
(5.35%)
pleasant reflection
(1.15%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.66%)
tastefully blurred
(-5.59%)
well chosen subject
(9.33%)
well framed subject
(-39.04%)
well timed shot
(-0.88%)
all
(0.78%)
* 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.