Photos | Gathering outside the Church
Catherine Ashton and a crowd of 29 people, including 4 adults and 2 women, stand outside a beautiful church as palm trees sway in the blue sky. The architecture of the building and surrounding arches create a stunning backdrop for the group's attire, including 18 pairs of footwear and 3 handbags.
BLIP-2 Description:
a group of people standing outside of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
urban glasses palm transportation outdoor footwear bag arbour garden catherine ashton path ordination stairs sky monastery tree pedestrian wbtla_ordination city flagstone car sidewalk arch building heel shoe handbag outdoors campus nature coat college pants plant road vehicle high suit architecture wbtla blue hat summer accessories corridor indoors walking walkway crowd
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(38.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.20%)
harmonious color
(6.09%)
immersiveness
(4.61%)
interaction
(1.00%)
interesting subject
(-31.08%)
intrusive object presence
(-4.10%)
lively color
(4.81%)
low light
(0.12%)
noise
(-0.81%)
pleasant camera tilt
(-7.10%)
pleasant composition
(-67.29%)
pleasant lighting
(-26.27%)
pleasant pattern
(11.65%)
pleasant perspective
(8.54%)
pleasant post processing
(-1.17%)
pleasant reflection
(3.54%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.32%)
tastefully blurred
(-1.32%)
well chosen subject
(11.76%)
well framed subject
(-58.69%)
well timed shot
(-8.51%)
all
(-1.70%)
* 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.