Photos | Music Festival Relaxation

A woman takes a moment to lay in the grass and enjoy the music at Coachella Sunday, surrounded by the lush foliage and crowds of people.
BLIP-2 Description:
a woman laying on the grass at a music festivalMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture summer activities sunday formal barefoot plant soil building leisure flower footwear airplane arrangement ring outdoors tent luggage hat transportation wristwatch tree outdoor sky container shoe bag sandal foliage land cloudy aircraft traffic fashion fun glasses picnic coachella shorts airport wear nature grass vehicle jewelry light skirt accessories handbag walking part kerry king palm dress back concert lawn crowd park shelter
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-0.67
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2010-04-18T17:17:40.430000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.22%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.63%)
harmonious color
(0.42%)
immersiveness
(2.86%)
interaction
(1.00%)
interesting subject
(-42.92%)
intrusive object presence
(-14.89%)
lively color
(-9.38%)
low light
(4.47%)
noise
(-5.37%)
pleasant camera tilt
(-11.51%)
pleasant composition
(-81.54%)
pleasant lighting
(-37.57%)
pleasant pattern
(3.15%)
pleasant perspective
(-3.49%)
pleasant post processing
(1.12%)
pleasant reflection
(0.49%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.10%)
tastefully blurred
(-3.08%)
well chosen subject
(-17.37%)
well framed subject
(-59.23%)
well timed shot
(-1.38%)
all
(-7.74%)
* 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.