Photos | Orange Ties and Smiling Faces
Connor Paolo and a woman stand in front of a group of nine people, all dressed in formal wear with orange ties and shirts. The cloudy sky and lush greenery make for a perfect outdoor wedding setting, complete with palm trees and cars in the background. The accessories and jewelry on display, including a bracelet and wristwatch, add to the festive atmosphere.
BLIP-2 Description:
a man and woman in orange shirts and ties 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:
advertisement wheel sonny_wedding connor paolo bracelet glasses palm transportation shirt outdoor poster tie formal footwear grass sky shorts tree jewelry car building wedding glove shoe campus cloudy plant wristwatch vehicle suit necktie machine architecture text summer sonny wear accessories crowd land
iso
100
metering mode
5
aperture
f/3.5
focal length
24mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
overall
(31.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.49%)
harmonious color
(1.02%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-46.36%)
intrusive object presence
(-41.99%)
lively color
(-12.13%)
low light
(1.64%)
noise
(-3.37%)
pleasant camera tilt
(-6.98%)
pleasant composition
(-86.82%)
pleasant lighting
(-41.48%)
pleasant pattern
(1.71%)
pleasant perspective
(-1.18%)
pleasant post processing
(3.39%)
pleasant reflection
(1.99%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.78%)
tastefully blurred
(-3.69%)
well chosen subject
(-28.52%)
well framed subject
(-32.28%)
well timed shot
(-0.26%)
all
(-8.10%)
* 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.