Photos | Curtis Family Reunion
A group of 54 family members, including famous figures like Beverly Cleary and Shannon Lucid, gather around a table in Bakersfield, California, for a memorable family photo.
BLIP-2 Description:
a group of people sitting around a table with a photo of themChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
architecture cady uber bride building sister nivedita lucid chair bullock wedding stanton restaurant furniture tillion family elizabeth collage text germaine painting art watson hilda armi ratia blake judith jolly, baroness jolly poster indoors dining bullock_curtis_family_photos shannon reta shaw table room beverly cleary curtis home decor lucile betty advertisement crowd linen braid
iso
400
metering mode
5
aperture
f/4
focal length
100mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2012-08-05T14:31:28.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.05%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.27%)
harmonious color
(-4.46%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(-56.54%)
intrusive object presence
(-7.74%)
lively color
(-10.20%)
low light
(6.15%)
noise
(-7.76%)
pleasant camera tilt
(-6.10%)
pleasant composition
(-28.83%)
pleasant lighting
(-26.98%)
pleasant pattern
(5.32%)
pleasant perspective
(9.68%)
pleasant post processing
(-0.76%)
pleasant reflection
(-3.39%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.56%)
tastefully blurred
(-6.40%)
well chosen subject
(16.03%)
well framed subject
(15.19%)
well timed shot
(-0.51%)
all
(-1.75%)
* 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.