Photos | The Stunning Arbour Garden with a View
Liu Xiaobo is captured walking along the path of the iconic Arbour Garden, surrounded by breathtaking scenery featuring a large building with a dome, palm trees, shrubs, and a beautiful blue sky.
BLIP-2 Description:
a large building with a large dome on topChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
architecture tie summer villa formal arch urban plant building wbtla overcoat footwear pedestrian outdoors transportation sidewalk walkway crowd tree slate liu xiaobo road outdoor house campus sky tarmac bag wbtla_ordination shoe city land traffic coat glasses metropolis path shrub nature wear ordination car vehicle light suit accessories arbour walking housing garden arecales palm handbag monastery
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:09.570000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.90%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.12%)
harmonious color
(7.10%)
immersiveness
(2.98%)
interaction
(1.00%)
interesting subject
(4.88%)
intrusive object presence
(-8.54%)
lively color
(4.09%)
low light
(1.07%)
noise
(-1.37%)
pleasant camera tilt
(-7.19%)
pleasant composition
(-38.99%)
pleasant lighting
(8.23%)
pleasant pattern
(9.03%)
pleasant perspective
(26.42%)
pleasant post processing
(-1.70%)
pleasant reflection
(-0.21%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.66%)
tastefully blurred
(3.20%)
well chosen subject
(5.21%)
well framed subject
(-21.13%)
well timed shot
(2.32%)
all
(5.86%)
* 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.