Photos | Festive Kite Flying Above Joyful Crowd

At the Coachella festival, a colorful kite soars above the buzzing crowd, while people soak up the sun, the music, and the summer vibes. Amidst a lush tropical setting, palm trees sway, and vibrant plants and grass spread as far as the eye can see.
BLIP-2 Description:
a crowd of people at a festival with a kite flying in the airMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
scenery shelter grass outdoors city urban boardwalk weapon day waterfront sky plant tree weekend amusement coachella rocket summer astronomy bag accessories outdoor sport kotozakura masakatsu arch tennis fireworks night building footwear park architecture crowd airport tent water concert airfield palm moon metropolis ball bridge palm tree handbag land hat nature shoe
iso
400
metering mode
5
aperture
f/2.8
focal length
153mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2010-07-18T04:14:36.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(58.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.15%)
harmonious color
(8.84%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(3.00%)
intrusive object presence
(-2.25%)
lively color
(-7.92%)
low light
(3.30%)
noise
(-0.68%)
pleasant camera tilt
(-6.53%)
pleasant composition
(-19.13%)
pleasant lighting
(0.57%)
pleasant pattern
(10.64%)
pleasant perspective
(24.67%)
pleasant post processing
(3.25%)
pleasant reflection
(-2.11%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.59%)
tastefully blurred
(0.61%)
well chosen subject
(0.64%)
well framed subject
(-14.34%)
well timed shot
(16.11%)
all
(7.80%)
* 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.