Photos | Ordination Ceremony at the Church
Liu Xiaobo and Doris Fitschen join a crowd of 35 people for the 2011 WBTLA ordination ceremony, standing amidst the lush greenery of the church garden and towering palm trees.
BLIP-2 Description:
a group of people standing outside of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
architecture formal neighborhood urban wbtla plant building overcoat footwear pedestrian outdoors transportation sidewalk area tree liu xiaobo road outdoor campus sky tarmac city wbtla_ordination shoe bag land traffic fitschen machine coat glasses metropolis path shrub palm tree nature ordination wear car vehicle college fir light suit accessories arbour handbag walking automobile garden palm crowd doris
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:12.590000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.28%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.77%)
failure
(-0.34%)
harmonious color
(0.58%)
immersiveness
(1.66%)
interaction
(1.00%)
interesting subject
(-23.11%)
intrusive object presence
(-10.06%)
lively color
(0.12%)
low light
(4.15%)
noise
(-2.03%)
pleasant camera tilt
(-8.52%)
pleasant composition
(-72.22%)
pleasant lighting
(-25.17%)
pleasant pattern
(9.38%)
pleasant perspective
(12.77%)
pleasant post processing
(-0.69%)
pleasant reflection
(3.90%)
pleasant symmetry
(1.46%)
sharply focused subject
(0.24%)
tastefully blurred
(-10.61%)
well chosen subject
(18.93%)
well framed subject
(-48.10%)
well timed shot
(2.77%)
all
(-1.11%)
* 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.