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:
architecture property formal urban wbtla plant building overcoat footwear tuxedo pedestrian outdoors transportation hat sidewalk sima samar sampson tree outdoor jacket campus sky shoe wbtla_ordination bag city land coat indoors belt corridor path metropolis nature wear ordination car grass vehicle college fir suit accessories arbour real office handbag blazer walking garden palm crowd monastery angus
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.