Photos | Collaborative Work in the Living Room
Tetsurō Araki and five others sit around a table with two laptops and a television screen in the background, working together in a cozy Los Angeles living room.
BLIP-2 Description:
a group of people sitting around a table with a laptopChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture pen building tetsurō araki plywood option j living furniture flooring 地处 design container wood art document sitting television hardware machine desk glasses indoors tabletop pc angeles district interior cord electronics los jewelry hardwood screen table accessories room monitor couch laptop center tv entertainment floor computer painting consumer
iso
50
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2016-08-18T21:13:10.839000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.86%)
curation
(89.26%)
highlight visibility
(7.35%)
behavioral
(70.67%)
failure
(-0.49%)
harmonious color
(2.45%)
immersiveness
(0.22%)
interaction
(8.00%)
interesting subject
(-42.11%)
intrusive object presence
(-8.42%)
lively color
(2.02%)
low light
(13.35%)
noise
(-2.71%)
pleasant camera tilt
(-12.89%)
pleasant composition
(-73.10%)
pleasant lighting
(-32.74%)
pleasant pattern
(4.39%)
pleasant perspective
(-9.14%)
pleasant post processing
(1.60%)
pleasant reflection
(-0.49%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.17%)
tastefully blurred
(-16.46%)
well chosen subject
(-36.91%)
well framed subject
(-38.04%)
well timed shot
(-8.40%)
all
(-7.53%)
* 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.