Photos | Ladies' retreat
Christin Priebst and her gal pals enjoy a leisurely afternoon on a blue blanket under a tree, surrounded by plants and nature, at the 2013 Coachella Weekend 2 music festival.
BLIP-2 Description:
a group of women sitting on a blue blanketChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
housing couch shelter outdoors urban furniture dress container dining undershirt sitting car vehicle day plant tree weekend teen child coachella transportation girl wristwatch indoors accessories bag ring jewelry chair sunglasses glasses footwear building architecture luggage necklace party table boy purse restaurant christin priebst handbag house bracelet box book publication fence patio fun shoe
iso
400
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2013-04-20T18:54:35.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.20%)
harmonious color
(5.07%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(5.85%)
intrusive object presence
(-20.43%)
lively color
(-4.59%)
low light
(7.91%)
noise
(-1.29%)
pleasant camera tilt
(-6.32%)
pleasant composition
(-79.88%)
pleasant lighting
(-36.91%)
pleasant pattern
(8.30%)
pleasant perspective
(11.76%)
pleasant post processing
(4.05%)
pleasant reflection
(2.75%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.71%)
tastefully blurred
(-0.63%)
well chosen subject
(-8.93%)
well framed subject
(-31.13%)
well timed shot
(13.05%)
all
(-1.76%)
* 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.