Photos | Group Walking in front of Church
Liu Xiaobo among 32 people in formal wear walking on a path lined with palm trees and shrubs, in front of a beautiful church on a sunny day.
BLIP-2 Description:
a large group of people walking in front of a churchChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture formal liu urban wbtla plant building xiaobo overcoat footwear pedestrian outdoors transportation sidewalk walkway tree slate road outdoor campus sky traffic bag wbtla_ordination shoe city land glove machine coat glasses metropolis path shrub nature rekognition_c ordination wear car grass vehicle college fir light suit accessories arbour handbag walking automobile garden palm crowd
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:17.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.50%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.85%)
failure
(-0.24%)
harmonious color
(-0.02%)
immersiveness
(1.17%)
interaction
(1.00%)
interesting subject
(-31.96%)
intrusive object presence
(-19.60%)
lively color
(6.26%)
low light
(2.91%)
noise
(-1.66%)
pleasant camera tilt
(-6.94%)
pleasant composition
(-79.30%)
pleasant lighting
(-13.66%)
pleasant pattern
(5.59%)
pleasant perspective
(15.56%)
pleasant post processing
(0.72%)
pleasant reflection
(2.07%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.63%)
well chosen subject
(8.52%)
well framed subject
(-48.97%)
well timed shot
(4.23%)
all
(-0.57%)
* 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.