Photos | Living Room Relaxation
Aditi Chauhan takes a break with her furry friend at The Broad during Coachella 2016.
BLIP-2 Description:
a woman sitting on a chair with a dogChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
architecture thursday tool r necklace cat pillow plant building food chair window mobile ring plywood armchair tara living furniture rug chauhan pet flooring design wood bag sitting dog hardware machine desk aditi glasses friday indoors coachella dining interior rekognition_c electronics canine bread living room jewelry screen + hardwood table room accessories monitor couch home center tv phone entertainment mammal decor animal cup floor computer handbag consumer
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/10s
camera make
Canon
camera model
lens model
date
2016-04-05T19:47:52.260000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.49%)
curation
(66.01%)
highlight visibility
(5.73%)
behavioral
(90.78%)
failure
(-0.10%)
harmonious color
(5.17%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(8.12%)
intrusive object presence
(-5.79%)
lively color
(-33.33%)
low light
(22.92%)
noise
(-0.54%)
pleasant camera tilt
(-13.37%)
pleasant composition
(-56.54%)
pleasant lighting
(-16.42%)
pleasant pattern
(2.25%)
pleasant perspective
(19.14%)
pleasant post processing
(7.92%)
pleasant reflection
(-5.82%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.37%)
tastefully blurred
(-26.25%)
well chosen subject
(-7.17%)
well framed subject
(16.77%)
well timed shot
(19.10%)
all
(0.70%)
* 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.