Photos | Clowning Around at the Wedding Reception

Robbie Rist and Mary T. Meagher join the crowd at the restaurant, where a man dressed as a clown entertains guests with balloons and laughs.
BLIP-2 Description:
a group of people sitting at tables with a man dressed as a clownMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting room wickstrom furniture desk decor october floor hardwood wildlife wear screen device tie lamp waiting room mascot child home elephant linen cafe court girl mammal formal indoors accessories animal chair pub mary glasses cafeteria celebration crowd food interior table wickstrom_wedding fall cup restaurant electrical plywood flooring robbie rist reception balloon design meagher door hat microphone electronics wedding wood
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2011-10-29T19:19:13.680000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.57%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-2.05%)
harmonious color
(1.47%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-26.07%)
intrusive object presence
(-27.22%)
lively color
(-34.74%)
low light
(64.94%)
noise
(-5.25%)
pleasant camera tilt
(-9.34%)
pleasant composition
(-90.97%)
pleasant lighting
(-55.37%)
pleasant pattern
(2.69%)
pleasant perspective
(-7.43%)
pleasant post processing
(7.10%)
pleasant reflection
(-2.19%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.22%)
tastefully blurred
(-34.42%)
well chosen subject
(4.65%)
well framed subject
(-47.88%)
well timed shot
(17.46%)
all
(-8.22%)
* 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.