Photos | The Ultimate Music Festival Experience

The crowd gathers at Coachella 2016, including Lorenzo Ostuni, Riccardo Mandolini, Charli D'Amelio, Robson da Silva, Charlie McDermott, and Ana Matnadze, taking in the sights and sounds of the concert while sporting a variety of fashionable hats and accessories.
BLIP-2 Description:
a crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
thursday bracelet headgear matnadze urban charlie mcdermott baseball mobile baby lorenzo ostuni hat silva robson party da wilki mandolini charli d'amelio hardware fun glasses friday coachella audience riccardo life electronics jewelry screen + accessories monitor night phone concert computer ana crowd
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
16mm
shutter speed
1/2500s
camera make
Canon
camera model
lens model
date
2016-04-15T17:39:12.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.11%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.22%)
harmonious color
(0.20%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(5.06%)
intrusive object presence
(-11.87%)
lively color
(-9.56%)
low light
(69.24%)
noise
(-0.85%)
pleasant camera tilt
(-10.84%)
pleasant composition
(-59.33%)
pleasant lighting
(-26.95%)
pleasant pattern
(17.80%)
pleasant perspective
(10.89%)
pleasant post processing
(-3.12%)
pleasant reflection
(-1.52%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.54%)
tastefully blurred
(-7.37%)
well chosen subject
(-3.90%)
well framed subject
(-42.31%)
well timed shot
(17.02%)
all
(-0.94%)
* 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.