Photos | Thanksgiving Dinner with Friends
Michelle Ford and Rhoda B enjoy a delicious meal together at their dining table in Santa Fe, New Mexico.
BLIP-2 Description:
a woman sitting at a table with a turkey on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture cutlery dining table cafeteria french tableware spoon building frame meal food brunch buffet plywood dish porcelain dinner restaurant furniture rhoda utensil flooring design court wood pottery art knife linen indoors lunch tabletop pc michelle ford dining interior electronics bread mobile phone fork hardwood table room blade couch laptop home plate decor phone cup floor computer painting weapon saucer
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
35.64
longitude
-106.01
shutter speed
1/11s
camera make
Apple
camera model
date
2016-11-24T16:32:56.657000-07:00
tzoffset
-25200
tzname
America/Denver
overall
(37.96%)
curation
(65.97%)
highlight visibility
(5.57%)
behavioral
(70.60%)
failure
(-0.22%)
harmonious color
(1.46%)
immersiveness
(0.20%)
interaction
(2.00%)
interesting subject
(-7.92%)
intrusive object presence
(-9.96%)
lively color
(-5.79%)
low light
(9.45%)
noise
(-3.22%)
pleasant camera tilt
(-7.85%)
pleasant composition
(-58.89%)
pleasant lighting
(-17.31%)
pleasant pattern
(7.37%)
pleasant perspective
(10.41%)
pleasant post processing
(3.01%)
pleasant reflection
(-3.64%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.51%)
tastefully blurred
(-7.37%)
well chosen subject
(-28.49%)
well framed subject
(-17.85%)
well timed shot
(-3.16%)
all
(-2.79%)
* 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.