Photos | Coachella Crowd

Mayookha Johny and Don Patricio are just two of the 38 people in this massive outdoor crowd at the 2011 Coachella concert on Sunday. Baseball caps, hats, and headgear were popular among the crowd, who enjoyed the music and sported a variety of clothing and accessories.
BLIP-2 Description:
a crowd of peopleMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet activities headgear sunday boy necklace leisure baseball music child footwear mobile cap baby hat wristwatch musician outdoor baseball cap tennis shoe bag land glove glasses (ball) coachella ball shorts audience photographer rekognition_c electronics backpack grass jewelry sport performer johny accessories musical instrument mayookha handbag percussion don patricio part phone back concert crowd drum
iso
1600
aperture
f/2.8
focal length
200mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2011-04-17T19:22:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.15%)
harmonious color
(-0.98%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(6.52%)
intrusive object presence
(-13.79%)
lively color
(-6.85%)
low light
(3.17%)
noise
(-1.32%)
pleasant camera tilt
(-9.10%)
pleasant composition
(-88.96%)
pleasant lighting
(-27.66%)
pleasant pattern
(4.00%)
pleasant perspective
(-3.43%)
pleasant post processing
(-1.42%)
pleasant reflection
(-1.39%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.39%)
tastefully blurred
(-20.01%)
well chosen subject
(-16.75%)
well framed subject
(-51.81%)
well timed shot
(31.01%)
all
(-4.31%)
* 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.