Photos | Tuxedo Attire For Wedding Catering
A man dressed to the nines serving food to wedding attendees. Beautiful flower arrangements, elegant clothing and tableware, and comfortable furniture enhance the atmosphere of the restaurant.
BLIP-2 Description:
a man in a tuxedo is serving food to people at a weddingMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
nadisc gun arrangement flooring couch dress wood bracelet restaurant floristry cutlery mandy tuxedo camera footwear formal bag bride court banquet interior food floor container cafeteria chair evening fashion fork jewelry flower table building pub wedding lighting bouquet tableware shoe handbag electronics nadisc jockeya hirsch gown reception flower arrangement glass room plant hirsch wristwatch cup suit architecture jockeya weapon meal utensil design wear waiting furniture accessories dining hawaii indoors art
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
overall
(31.01%)
curation
(65.46%)
highlight visibility
(5.69%)
behavioral
(90.70%)
failure
(-0.61%)
harmonious color
(2.19%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-46.39%)
intrusive object presence
(-19.14%)
lively color
(-41.92%)
low light
(20.87%)
noise
(-2.81%)
pleasant camera tilt
(-10.85%)
pleasant composition
(-90.82%)
pleasant lighting
(-56.49%)
pleasant pattern
(1.93%)
pleasant perspective
(-5.34%)
pleasant post processing
(2.40%)
pleasant reflection
(-1.12%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.15%)
tastefully blurred
(-24.55%)
well chosen subject
(3.44%)
well framed subject
(-47.36%)
well timed shot
(13.72%)
all
(-9.53%)
* 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.