Photos | Ordination Day Celebration
William McKenzie, Baron McKenzie of Luton, Liu Xiaobo, and Myla Goldberg join 30 others outside the beautiful building for a photo on a sunny day filled with trees and greenery.
BLIP-2 Description:
a large group of people standing outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture summer william mckenzie, baron mckenzie of luton formal liu arch urban plant building wbtla xiaobo footwear pedestrian outdoors transportation sidewalk hat crowd tree slate road outdoor traffic light campus sky tarmac bag wbtla_ordination city foliage land shoe metropolis path shrub nature wear ordination car vehicle myla goldberg college fir light suit accessories arbour walking garden palm handbag
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:02.410000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.51%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.15%)
harmonious color
(4.72%)
immersiveness
(1.46%)
interaction
(1.00%)
interesting subject
(-9.44%)
intrusive object presence
(-9.89%)
lively color
(6.71%)
low light
(4.03%)
noise
(-1.49%)
pleasant camera tilt
(-6.78%)
pleasant composition
(-58.98%)
pleasant lighting
(-0.10%)
pleasant pattern
(8.72%)
pleasant perspective
(25.63%)
pleasant post processing
(0.95%)
pleasant reflection
(3.13%)
pleasant symmetry
(1.44%)
sharply focused subject
(0.51%)
tastefully blurred
(-0.78%)
well chosen subject
(6.11%)
well framed subject
(-31.88%)
well timed shot
(1.70%)
all
(3.70%)
* 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.