Photos | Party in the Desert

A lively crowd enjoys the music and nightlife at the 2014 Coachella festival in Indio, California. Heather Olver, Elliot Giles, and Yan Zibei can be spotted among the sea of people dressed in trendy clothing and accessories, carrying backpacks and handbags. Bright lights and spotlights illuminate the stage, creating a lively concert atmosphere.
BLIP-2 Description:
a crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
fence coachella bar interior footwear backpack container lamp giles yan zibei life child concert urban party house fun part elliot night lighting recreation back glasses bag hat luggage heather olver nightclub handbag pub crowd wristwatch light girl performance club saturday room spotlight shoe accessories
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2014-04-12T17:13:31.950000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.54%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.66%)
harmonious color
(3.82%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(-21.29%)
intrusive object presence
(-11.08%)
lively color
(-11.92%)
low light
(96.58%)
noise
(-2.93%)
pleasant camera tilt
(-7.69%)
pleasant composition
(-76.42%)
pleasant lighting
(-40.31%)
pleasant pattern
(6.20%)
pleasant perspective
(2.76%)
pleasant post processing
(-11.54%)
pleasant reflection
(-0.17%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.56%)
tastefully blurred
(-3.02%)
well chosen subject
(-10.03%)
well framed subject
(-52.98%)
well timed shot
(1.39%)
all
(-6.81%)
* 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.