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:
tarmac housing path walkway campus city arecales outdoors urban villa ordination koo wear vehicle sky plant tree transportation summer formal bag garden sidewalk accessories outdoor street arch road glasses footwear building architecture crowd wbtla palm suit office college metropolis shrub coat victor arbour palm tree walking handbag pedestrian bus monastery wbtla_ordination house rekognition_c land louise merzeau 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
2011-05-15T12:37:08.750000-07:00
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.