Photos | Reception Room Gathering
Ruth Henig and Baroness Henig join five other individuals in a reception room surrounded by flower arrangements, elegant furniture, and a dining table.
BLIP-2 Description:
a group of people standing around a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
rekognition_c arrangement mike flooring lamp dress couch plate funeral restaurant grandma transportation glasses wood baroness tie tuxedo footwear formal window bag tablecloth court interior food necklace floor cafeteria chair reception room evening fashion car jewelry flower table building bouquet chandelier linen shoe handbag henig decor coat reception room sword ruth g plant wristwatch cup vehicle suit architecture knife weapon meal waiting wear furniture overcoat door blade accessories dining indoors home
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(37.99%)
curation
(65.69%)
highlight visibility
(5.55%)
behavioral
(70.62%)
failure
(-0.39%)
harmonious color
(3.20%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-16.25%)
intrusive object presence
(-5.18%)
lively color
(-11.98%)
low light
(97.51%)
noise
(-3.05%)
pleasant camera tilt
(-10.10%)
pleasant composition
(-58.50%)
pleasant lighting
(-57.47%)
pleasant pattern
(14.28%)
pleasant perspective
(-0.24%)
pleasant post processing
(0.93%)
pleasant reflection
(2.15%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.32%)
tastefully blurred
(-9.18%)
well chosen subject
(-23.07%)
well framed subject
(-26.93%)
well timed shot
(-0.63%)
all
(-6.30%)
* 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.