Photos | Ordination Ceremony Draws Massive Crowd
Dozens of people gather outside the building to witness Cora Stephan's ordination ceremony, standing among trees and decorative plants on the bustling city sidewalk.
BLIP-2 Description:
a large crowd of people standing outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
architecture arch urban plant building wbtla footwear decorative houseplant pedestrian boulevard sidewalk transportation hat walkway tree flagstone outdoors area road outdoor femple sky city wbtla_ordination bag shoe land mall street machine coat glasses shorts metropolis path shrub bus nature ordination car vehicle accessories shopping handbag walking potted automobile garden palm cora stephan shop crowd
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:36:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.63%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.07%)
harmonious color
(4.07%)
immersiveness
(1.64%)
interaction
(1.00%)
interesting subject
(-36.25%)
intrusive object presence
(-6.13%)
lively color
(4.21%)
low light
(0.44%)
noise
(-0.95%)
pleasant camera tilt
(-7.02%)
pleasant composition
(-69.92%)
pleasant lighting
(7.03%)
pleasant pattern
(5.91%)
pleasant perspective
(18.14%)
pleasant post processing
(-2.15%)
pleasant reflection
(-2.59%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.32%)
tastefully blurred
(0.93%)
well chosen subject
(13.13%)
well framed subject
(-54.25%)
well timed shot
(-0.78%)
all
(1.56%)
* 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.