Photos | Sunday Fun at Coachella Music Festival

A crowd of 36 people sitting on the grass and enjoying the concert while cloudy skies and trees provide shelter. People wear clothing and accessories, some with hats and handbags, others with wristwatches and bracelets, and footwear that include sandals and shoes. 22 shoes and 5 males can be seen, among them 2 children and 3 men. 6 glasses are used to view the concert, while a volleyball is seen nearby. The audience is having fun outdoors, practicing yoga or working out, while some are enjoying a picnic.
BLIP-2 Description:
people sitting on the grass at a music festivalMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture bracelet activities sunday boy plant yoga building leisure child footwear outdoors hat wristwatch working tree outdoor volleyball sky shoe bag sandal land cloudy fun glasses picnic coachella ball audience shorts (ball) grass jewelry sport accessories handbag fitness part back concert crowd undershirt shelter
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2010-04-18T17:14:41.200000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.39%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.46%)
harmonious color
(-2.37%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-45.73%)
intrusive object presence
(-38.62%)
lively color
(-10.00%)
low light
(2.95%)
noise
(-2.73%)
pleasant camera tilt
(-13.92%)
pleasant composition
(-92.24%)
pleasant lighting
(-47.80%)
pleasant pattern
(2.34%)
pleasant perspective
(-16.70%)
pleasant post processing
(-0.96%)
pleasant reflection
(7.24%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.05%)
tastefully blurred
(-5.58%)
well chosen subject
(0.96%)
well framed subject
(-70.07%)
well timed shot
(3.00%)
all
(-9.81%)
* 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.