Photos | Formal Wedding Portrait

A group of six adults and one child stand with the bride and groom, all dressed in formal attire. A flower bouquet and arrangement sit on a chair next to them, and a potted plant sits in the corner. The groom wears a dark suit with a red tie, while the bride wears a white gown with a diamond necklace. An electrical device and tripod sit in the background, along with several phones and watches on wrists. Taken at a wedding in Palm Springs in 2013.
BLIP-2 Description:
a group of people standing around a man and womanMetadata
Capture date:
Original Dimensions:
5184w x 3456h - (download 4k)
Usage
Dominant Color:
Location:
jacket tripod wedding estates river heel skirt furniture dress lady potted mobile phone tahquitz wear device north tie plant wedding gown shoe fashion high wristwatch formal accessories bag evening photography gown jewelry chair canyon footwear bouquet crowd rose suit portrait phone electrical flower arrangement tuxedo handbag blazer south palm springs flower microphone electronics necklace coat
iso
800
metering mode
5
aperture
f/2.8
focal length
22mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2013-11-02T12:19:12.850000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.08%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.39%)
harmonious color
(0.80%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(18.12%)
intrusive object presence
(-51.76%)
lively color
(-10.84%)
low light
(17.29%)
noise
(-1.76%)
pleasant camera tilt
(-4.91%)
pleasant composition
(-68.36%)
pleasant lighting
(-52.25%)
pleasant pattern
(3.34%)
pleasant perspective
(4.93%)
pleasant post processing
(-1.06%)
pleasant reflection
(0.85%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.59%)
tastefully blurred
(-21.41%)
well chosen subject
(-14.47%)
well framed subject
(-12.29%)
well timed shot
(27.22%)
all
(-4.79%)
* 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.