Photos | Music, Sun, and Fun at Coachella

A lively crowd gathers at Coachella music festival, enjoying the beautiful blue sky, palm trees, and outdoor atmosphere of the event. Óscar Freire can be seen in the crowd, surrounded by festival-goers sporting a variety of clothing, headgear, and accessories while enjoying the concert.
BLIP-2 Description:
a crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
urban óscar freire wear part bikini sky plant tree teen child tattoo skin coachella summer back girl wristwatch formal bag accessories outdoor jewelry sunglasses glasses footwear crowd necklace backpack tent vacation concert palm swimwear suit shorts party boy cup handbag walking headgear tourist hat spring break high heel fun shoe
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2015-04-11T16:35:05.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.76%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.61%)
harmonious color
(3.66%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-7.15%)
intrusive object presence
(-26.42%)
lively color
(-7.07%)
low light
(2.10%)
noise
(-1.39%)
pleasant camera tilt
(-9.40%)
pleasant composition
(-74.90%)
pleasant lighting
(-51.17%)
pleasant pattern
(4.27%)
pleasant perspective
(-1.36%)
pleasant post processing
(2.43%)
pleasant reflection
(6.26%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.07%)
tastefully blurred
(-21.77%)
well chosen subject
(6.33%)
well framed subject
(-46.88%)
well timed shot
(8.69%)
all
(-5.13%)
* 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.