Photos | Lobby Luminaries
Vera Brittain, Anna Pavlova, and Rudolf Hilferding pose under a sparkling chandelier in a downtown building lobby in 2008.
BLIP-2 Description:
a man and woman standing in a lobbyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture rudolf necklace john building overcoat food gallery mercè rodoreda lamp lilian greuze crowd restaurant jacket rug amy lowell flooring design court wood bag pavlova sir art hopson albert coat glasses indoors corridor interior joseph-armand bombardier sarraut jewelry vera brittain alphonse mucha light hermine kittel accessories violet downtown shoot lighting home hilferding chandelier decor photography floor anna handbag tenniel archduchess gisela of austria
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2008-10-04T10:07:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.83%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.42%)
harmonious color
(4.17%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-5.29%)
intrusive object presence
(-6.27%)
lively color
(-48.49%)
low light
(12.35%)
noise
(-1.25%)
pleasant camera tilt
(-4.72%)
pleasant composition
(-52.93%)
pleasant lighting
(-21.77%)
pleasant pattern
(4.59%)
pleasant perspective
(10.84%)
pleasant post processing
(3.37%)
pleasant reflection
(-1.86%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.61%)
tastefully blurred
(-29.25%)
well chosen subject
(-19.60%)
well framed subject
(12.13%)
well timed shot
(10.31%)
all
(-2.34%)
* 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.