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:
path machine walkway slate grass campus city urban outdoors ordination glove liu wear vehicle car sky plant tree transportation formal bag accessories sidewalk garden traffic outdoor road xiaobo glasses building footwear architecture crowd fir wbtla automobile palm suit light college metropolis shrub coat overcoat walking handbag pedestrian arbour rekognition_c wbtla_ordination land nature shoe
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.