Photos | Marie Laurencin at Coachella
A portrait of Marie Laurencin sitting at a table amid the Coachella play area, surrounded by art, furniture, and people.
BLIP-2 Description:
a table with a girl sitting at itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet port boy end kindergarten building meal portrait chair child coteri footwear food plywood works tent wristwatch area laurencin living restaurant furniture saturday flooring ne wood party bag shoe marie trade art want desk no glasses indoors coachella dining something casac rules rekognition_c bread jewelry table accessories room whatnot play couch used lets plate photography items cup floor handbag painting box ladderball
Detected Text
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2014-04-12T11:17:00.720000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.99%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.59%)
failure
(-0.15%)
harmonious color
(5.80%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(3.36%)
intrusive object presence
(-20.92%)
lively color
(11.18%)
low light
(49.15%)
noise
(-2.73%)
pleasant camera tilt
(-6.64%)
pleasant composition
(-64.45%)
pleasant lighting
(-14.15%)
pleasant pattern
(8.47%)
pleasant perspective
(7.10%)
pleasant post processing
(6.83%)
pleasant reflection
(1.73%)
pleasant symmetry
(0.88%)
sharply focused subject
(1.07%)
tastefully blurred
(-4.63%)
well chosen subject
(-30.54%)
well framed subject
(3.40%)
well timed shot
(11.19%)
all
(0.24%)
* 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.