Photos | Relaxing in the Living Room

Actress Diane Guerrero takes a seat on a comfortable chair while enjoying the company of her furry friend and friends in the beautifully designed living room at Coachella 2016.
BLIP-2 Description:
a woman sitting on a chairMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
floor friday cutlery r coachella interior thursday pet table computer hound restaurant plant canine rug animal sitting dining mammal diane guerrero chair tool design couch flooring building furniture mobile phone architecture + painting desk phone handbag wood dog hardware cup living window hardwood screen home spoon electronics outdoor tara decor art plywood room monitor bag indoors accessories
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/8s
camera make
Canon
camera model
lens model
date
2016-04-05T19:47:10.790000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.46%)
curation
(65.28%)
highlight visibility
(5.52%)
behavioral
(70.64%)
failure
(-0.85%)
harmonious color
(2.92%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-58.64%)
intrusive object presence
(-15.92%)
lively color
(-46.19%)
low light
(32.42%)
noise
(-0.90%)
pleasant camera tilt
(-16.33%)
pleasant composition
(-81.88%)
pleasant lighting
(-55.91%)
pleasant pattern
(1.71%)
pleasant perspective
(-8.29%)
pleasant post processing
(5.19%)
pleasant reflection
(-3.83%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.17%)
tastefully blurred
(-68.02%)
well chosen subject
(-7.09%)
well framed subject
(-22.23%)
well timed shot
(-12.23%)
all
(-12.44%)
* 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.