Photos | Massive Crowd Enjoys Coachella Concert

Thousands of fans gather together to watch J. P. Arencibia, Ali-A, Félix Doubront, Capital Bra, Renato Garcia, and Ashton Fletcher Irwin perform at 2007 Coachella Sunday, creating an electrifying atmosphere with the beautiful blue sky as a backdrop.
BLIP-2 Description:
a large crowd of people at a concertMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
speech irwin headgear sunday fletcher baseball chair mobile footwear cap box hat crowd furniture outdoor pet sky bag shoe land bra dog coachella_sunday renato garcia shirt glasses folding coachella audience j. p. arencibia félix doubront helmet sunglasses canine electronics staff grass accessories ashton phone ali mammal animal capital concert handbag event
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2007-04-29T16:13:57-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.33%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.27%)
harmonious color
(4.02%)
immersiveness
(2.95%)
interaction
(1.00%)
interesting subject
(-33.84%)
intrusive object presence
(-7.89%)
lively color
(5.01%)
low light
(0.46%)
noise
(-0.44%)
pleasant camera tilt
(-9.39%)
pleasant composition
(-72.17%)
pleasant lighting
(-27.27%)
pleasant pattern
(10.18%)
pleasant perspective
(3.40%)
pleasant post processing
(-1.30%)
pleasant reflection
(5.70%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.24%)
tastefully blurred
(-2.82%)
well chosen subject
(19.82%)
well framed subject
(-51.66%)
well timed shot
(1.77%)
all
(-1.72%)
* 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.