Photos | Walking Out of Ordination Ceremony
Connie Hedegaard and a group of 23 people walk outside of the ornate building after the 2011 WBTLA ordination ceremony dressed in their formal suits and overcoats.
BLIP-2 Description:
a group of people walking outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture door formal pants handrail arch urban plant building wbtla overcoat footwear stairs pedestrian transportation sidewalk hedegaard walkway tree jacket campus bag wbtla_ordination shoe city connie coat glasses metropolis path photographer wear rekognition_c ordination car vehicle college suit accessories office walking photography handbag
iso
100
metering mode
5
aperture
f/8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2011-05-15T12:35:21.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.65%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.75%)
failure
(-0.49%)
harmonious color
(-3.71%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-19.37%)
intrusive object presence
(-8.06%)
lively color
(-6.13%)
low light
(0.98%)
noise
(-3.42%)
pleasant camera tilt
(-8.60%)
pleasant composition
(-51.76%)
pleasant lighting
(-23.38%)
pleasant pattern
(28.96%)
pleasant perspective
(5.20%)
pleasant post processing
(1.05%)
pleasant reflection
(-1.25%)
pleasant symmetry
(2.83%)
sharply focused subject
(0.27%)
tastefully blurred
(-5.06%)
well chosen subject
(-12.67%)
well framed subject
(-33.52%)
well timed shot
(1.78%)
all
(-1.75%)
* 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.