Photos | Crowd in Front of Church
A large group of people walking down the sidewalk in front of a church, including Liu Xiaobo and Kenneth Feld, during the WBTLA Ordination in 2011.
BLIP-2 Description:
a large crowd of people walking down the sidewalk in front of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture kenneth formal conifer urban wbtla plant building mobile gown footwear pedestrian outdoors transportation luggage sidewalk feld crowd tree liu xiaobo purse outdoor campus sky container bag wbtla_ordination shoe city land traffic glove fashion machine coat glasses metropolis path shrub nature wear electronics ordination car grass vehicle college fir light suit accessories arbour walking automobile phone garden palm dress handbag
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:16.600000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.02%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.84%)
failure
(-0.22%)
harmonious color
(3.87%)
immersiveness
(1.32%)
interaction
(1.00%)
interesting subject
(-3.09%)
intrusive object presence
(-14.48%)
lively color
(8.07%)
low light
(6.23%)
noise
(-2.64%)
pleasant camera tilt
(-7.79%)
pleasant composition
(-68.99%)
pleasant lighting
(-4.76%)
pleasant pattern
(8.03%)
pleasant perspective
(16.77%)
pleasant post processing
(4.90%)
pleasant reflection
(0.87%)
pleasant symmetry
(1.34%)
sharply focused subject
(0.56%)
tastefully blurred
(0.31%)
well chosen subject
(4.74%)
well framed subject
(-44.41%)
well timed shot
(10.82%)
all
(2.74%)
* 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.