Photos | Relaxing at Home on the Cityscape View Sofa
Vicky's partner takes a break in the stylish living room while admiring the stunning cityscape view from their 2 couches.
BLIP-2 Description:
a man sitting on a couch in a living roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
lighting housing tripod couch room urban furniture row desk decor cr cool floor laptop fabulous hardware screen home armchair ntr blk pc indoors accessories mammal sign window latest outdoor corn animal chair shelf glasses building careless architecture monitor pet style dog stretch interior light table rug painting price flooring computer vicky jenkins penthouse canine cityscape design new door art low big living room electronics
Detected Text
iso
1600
metering mode
5
aperture
f/11
exposure bias
0.67
focal length
16mm
shutter speed
1s
camera make
Canon
camera model
lens model
date
2019-08-15T20:17:15-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.24%)
harmonious color
(2.77%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-39.36%)
intrusive object presence
(-5.83%)
lively color
(-26.49%)
low light
(14.94%)
noise
(-2.17%)
pleasant camera tilt
(-19.17%)
pleasant composition
(-74.46%)
pleasant lighting
(-37.99%)
pleasant pattern
(4.30%)
pleasant perspective
(-0.40%)
pleasant post processing
(2.60%)
pleasant reflection
(-9.65%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.17%)
tastefully blurred
(-18.09%)
well chosen subject
(-5.05%)
well framed subject
(-28.83%)
well timed shot
(-1.20%)
all
(-7.18%)
* 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.