Photos | Church Crowd on Ordination Day
Ken Bates, Stacey Bendet, and John Epping join 40 others in their formal wear as they stand outside the beautiful church on a sunny May day.
BLIP-2 Description:
a large crowd of people standing outside of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
path walkway city urban skirt dress ordination epping ken car vehicle sky plant tree shoe fashion transportation bag accessories sidewalk evening gown formal wear traffic outdoor street arch road glasses footwear building architecture crowd flagstone bates wbtla john palm suit light college metropolis tuxedo pedestrian walking handbag overcoat monastery rekognition_c wbtla_ordination stacey bendet coat
iso
100
metering mode
5
aperture
f/8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:36:06.660000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.59%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.20%)
harmonious color
(-0.89%)
immersiveness
(1.27%)
interaction
(1.00%)
interesting subject
(-35.38%)
intrusive object presence
(-13.33%)
lively color
(-0.24%)
low light
(0.27%)
noise
(-1.42%)
pleasant camera tilt
(-7.15%)
pleasant composition
(-74.76%)
pleasant lighting
(-12.09%)
pleasant pattern
(9.47%)
pleasant perspective
(7.46%)
pleasant post processing
(0.27%)
pleasant reflection
(-0.46%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.15%)
tastefully blurred
(-7.85%)
well chosen subject
(1.19%)
well framed subject
(-55.76%)
well timed shot
(3.03%)
all
(-2.11%)
* 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.