Photos | Ordination Day Group Shot
Annegret Kramp-Karrenbauer, Anne Cassin, and Robin Rimbaud join a crowd of 27 people outside of two impressive buildings on their ordination day in 2011. The group stands in front of a lush green shrub and arch, with city vehicles and a traffic light visible in the background.
BLIP-2 Description:
a group of people standing outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
architecture tie jeans formal pants arch urban plant building wbtla cassin footwear pedestrian transportation crowd tree outdoor campus sky traffic bag wbtla_ordination shoe city anne annegret kramp-karrenbauer machine coat glasses robin rimbaud belt shrub wear ordination car vehicle college light accessories walking stroller handbag monastery
iso
100
metering mode
5
aperture
f/8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:35:43.500000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.72%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.84%)
failure
(-0.37%)
harmonious color
(-2.35%)
immersiveness
(1.15%)
interaction
(1.00%)
interesting subject
(-30.86%)
intrusive object presence
(-5.66%)
lively color
(3.82%)
low light
(0.54%)
noise
(-4.61%)
pleasant camera tilt
(-8.61%)
pleasant composition
(-63.04%)
pleasant lighting
(-22.13%)
pleasant pattern
(23.88%)
pleasant perspective
(5.16%)
pleasant post processing
(2.18%)
pleasant reflection
(0.80%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.20%)
tastefully blurred
(-9.52%)
well chosen subject
(6.21%)
well framed subject
(-48.54%)
well timed shot
(-2.00%)
all
(-1.76%)
* 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.