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:
tarmac liu xiaobo housing path walkway slate campus outdoors arecales city urban villa ordination wear car vehicle tie sky plant tree transportation summer formal bag garden accessories sidewalk traffic outdoor arch road glasses building footwear architecture crowd wbtla palm suit light metropolis shrub coat arbour handbag pedestrian walking overcoat monastery house wbtla_ordination land nature shoe
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.