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
machine campus city urban ordination robin rimbaud wear vehicle car jeans tie sky plant tree transportation formal bag accessories belt cassin traffic outdoor pants arch glasses building footwear architecture crowd anne wbtla light college shrub coat pedestrian walking handbag monastery stroller annegret kramp-karrenbauer wbtla_ordination shoe
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.