Photos | Family Portrait in the Backyard
A black and white photograph of Ivan Jandl, Mary Gilmore, and their four children posing on a bench surrounded by plants, shrubs, and trees in their backyard in 2004.
BLIP-2 Description:
an old black and white photo of a familyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2118w x 1455h - (download 4k)
Usage
Dominant Color:
jacket cap shelter grass outdoors skirt furniture dress potted family wear laughing tie happy plant tree child shoe soccer summer girl old mammal formal accessories bag garden photography planter outdoor animal woodland chair pants sport mary footwear park building backyard architecture football gilmore pet jar vegetation bench portrait suit shorts ball shrub pottery grove ivan jandl handbag yard canine land hat flower nature vase coat
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
(33.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.85%)
harmonious color
(-4.79%)
immersiveness
(0.73%)
interaction
(1.00%)
interesting subject
(1.50%)
intrusive object presence
(-5.81%)
lively color
(-17.42%)
low light
(4.15%)
noise
(-3.47%)
pleasant camera tilt
(1.15%)
pleasant composition
(-26.29%)
pleasant lighting
(-25.73%)
pleasant pattern
(2.56%)
pleasant perspective
(1.64%)
pleasant post processing
(-0.18%)
pleasant reflection
(-3.37%)
pleasant symmetry
(0.42%)
sharply focused subject
(1.27%)
tastefully blurred
(-27.86%)
well chosen subject
(-19.79%)
well framed subject
(23.45%)
well timed shot
(6.34%)
all
(-2.43%)
* 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.