Photos | Ordination Outside the Building
Victor Koo and Louise Merzeau standing with a crowd of 26 people outside a building surrounded by trees and palms on a sunny day.
BLIP-2 Description:
a group of people standing outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
architecture villa summer formal arch urban plant building wbtla koo footwear victor pedestrian outdoors transportation sidewalk walkway tree road outdoor house campus sky tarmac city wbtla_ordination bag shoe land street coat glasses metropolis path shrub palm tree nature bus rekognition_c louise merzeau ordination vehicle wear college suit accessories arbour office handbag walking housing garden arecales palm crowd monastery
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:37:08.750000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.24%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.20%)
harmonious color
(6.46%)
immersiveness
(5.47%)
interaction
(1.00%)
interesting subject
(3.86%)
intrusive object presence
(-6.45%)
lively color
(6.82%)
low light
(1.17%)
noise
(-1.88%)
pleasant camera tilt
(-4.76%)
pleasant composition
(-33.57%)
pleasant lighting
(0.85%)
pleasant pattern
(11.38%)
pleasant perspective
(28.93%)
pleasant post processing
(-1.74%)
pleasant reflection
(0.12%)
pleasant symmetry
(1.83%)
sharply focused subject
(0.59%)
tastefully blurred
(4.97%)
well chosen subject
(3.89%)
well framed subject
(-20.78%)
well timed shot
(1.94%)
all
(6.13%)
* 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.