Photos | Family Portrait on a Bench
Mary Gilmore and her family sit on a bench in the great outdoors, surrounded by lush greenery and shrubs. The clothing and accessories of each family member speak to a formal occasion, while their happy expressions show the love and joy of being together.
BLIP-2 Description:
an old photo of a family sitting on a benchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2592w x 1944h - (download 4k)
Usage
Dominant Color:
tie costume formal plant portrait chair child footwear flower gown baby yard outdoors hat tree girl furniture outdoor bonnet pet collage bag shoe land art bench fashion grove coat glasses shrub nature wear canine grass suit accessories backyard woodland potted garden photography laughing dress mammal animal happy handbag mary gilmore park vegetation
iso
250
metering mode
3
white balance
3
aperture
f/3.5
focal length
7mm
shutter speed
1s
camera make
SONY
camera model
date
2004-12-27T01:21:52-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(13.24%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.44%)
harmonious color
(-6.54%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-34.55%)
intrusive object presence
(-5.30%)
lively color
(-48.07%)
low light
(0.73%)
noise
(-5.32%)
pleasant camera tilt
(-3.39%)
pleasant composition
(0.14%)
pleasant lighting
(-35.23%)
pleasant pattern
(1.95%)
pleasant perspective
(16.20%)
pleasant post processing
(-24.95%)
pleasant reflection
(-3.43%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.44%)
tastefully blurred
(-25.63%)
well chosen subject
(-3.08%)
well framed subject
(47.36%)
well timed shot
(-4.12%)
all
(-6.05%)
* 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.