Photos | Ron Washington's Speech
A man in a suit and tie addresses the crowd in a buttoned-up setting. The group seems to be listening intently, seated in matching chairs on hardwood flooring.
BLIP-2 Description:
a man in a suit and tie standing in front of a group of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture tie cafeteria formal necklace iphone_photos building overcoat chair speaker footwear plywood washington hat wristwatch crowd living waiting restaurant furniture flooring design wood shoe bag iphone sitting coat glasses indoors audience pc belt interior wear rekognition_c electronics jewelry hardwood screen accessories room headphones couch lighting laptop plate ron floor computer handbag
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2009-05-05T21:18:23.040000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.51%)
harmonious color
(1.28%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-51.07%)
intrusive object presence
(-14.18%)
lively color
(-40.11%)
low light
(93.85%)
noise
(-3.47%)
pleasant camera tilt
(-8.70%)
pleasant composition
(-86.96%)
pleasant lighting
(-49.76%)
pleasant pattern
(1.78%)
pleasant perspective
(-4.02%)
pleasant post processing
(-4.63%)
pleasant reflection
(1.51%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-24.93%)
well chosen subject
(1.42%)
well framed subject
(-49.95%)
well timed shot
(9.05%)
all
(-9.37%)
* 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.