Photos | Walking towards Ordination
Sima Samar and Angus Sampson lead a crowd of 27 people on a path to the 2011 WBTLA Ordination, surrounded by palm trees and a clear blue sky.
BLIP-2 Description:
a group of people walking in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
sampson jacket path campus grass outdoors urban city real ordination wear car vehicle sky plant tree transportation formal indoors bag accessories belt garden sidewalk outdoor building footwear architecture crowd fir corridor wbtla palm suit office college metropolis coat angus tuxedo arbour walking handbag monastery pedestrian overcoat blazer wbtla_ordination property sima samar land hat 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
2011-05-15T12:37:23.910000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.17%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.15%)
harmonious color
(3.13%)
immersiveness
(1.15%)
interaction
(1.00%)
interesting subject
(-25.81%)
intrusive object presence
(-10.40%)
lively color
(1.57%)
low light
(3.20%)
noise
(-2.00%)
pleasant camera tilt
(-8.61%)
pleasant composition
(-68.60%)
pleasant lighting
(-8.50%)
pleasant pattern
(9.03%)
pleasant perspective
(19.34%)
pleasant post processing
(-0.24%)
pleasant reflection
(3.72%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.39%)
tastefully blurred
(-3.61%)
well chosen subject
(10.71%)
well framed subject
(-42.92%)
well timed shot
(-0.30%)
all
(1.05%)
* 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.