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:
architecture bracelet boy necklace urban plant building fence chair child footwear publication ring outdoors transportation luggage wristwatch tree girl purse furniture restaurant patio house container bag shoe party weekend sitting fun glasses indoors coachella teen christin priebst dining book sunglasses car jewelry vehicle table accessories couch housing dress day handbag undershirt box shelter
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.