Photos | Relaxing in the Living Room
Izabelle Leite and Tara R take a break from Coachella to unwind in the comfortable armchair of their penthouse's living room with their furry friend.
BLIP-2 Description:
a woman sitting in a chair in a living roomChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
architecture thursday tool bracelet r izabelle pillow plant building chair window penthouse armchair tara living furniture outdoor pet flooring design sky zuni bag wood art bird dog hardware desk friday indoors coachella pc dining interior rekognition_c canine electronics jewelry screen + hardwood table room accessories monitor couch laptop home leite decor mammal animal floor computer handbag
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2016-04-03T13:12:44-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.11%)
curation
(65.55%)
highlight visibility
(5.70%)
behavioral
(90.72%)
failure
(-0.15%)
harmonious color
(2.34%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-39.01%)
intrusive object presence
(-5.52%)
lively color
(-7.21%)
low light
(18.02%)
noise
(-0.42%)
pleasant camera tilt
(-11.97%)
pleasant composition
(-66.75%)
pleasant lighting
(-42.41%)
pleasant pattern
(6.37%)
pleasant perspective
(8.73%)
pleasant post processing
(5.82%)
pleasant reflection
(-1.96%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.49%)
tastefully blurred
(2.19%)
well chosen subject
(-11.83%)
well framed subject
(-3.76%)
well timed shot
(-0.89%)
all
(-4.30%)
* 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.