Photos | The Newlyweds' Walkthrough
Graeme Obree escorts the bride and groom through the stunning restaurant, complete with beautiful flower arrangements, elegant lighting, and stylish furniture.
BLIP-2 Description:
a man and woman walking down a hallChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
reception bracelet cafeteria bride necklace formal wickstrom_wedding plant pub food chair flower gown flower bouquet arrangement plywood wedding lamp hat restaurant furniture flooring design court wood waiting room wickstrom fashion desk graeme obree glasses indoors interior wear jewelry light table accessories suit room lighting home decor dress floor crowd linen
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/13s
camera make
Canon
camera model
lens model
date
2011-10-29T19:19:44.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.46%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-1.83%)
harmonious color
(-1.55%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-15.26%)
intrusive object presence
(-53.13%)
lively color
(-47.78%)
low light
(48.90%)
noise
(-7.47%)
pleasant camera tilt
(-11.78%)
pleasant composition
(-90.87%)
pleasant lighting
(-68.70%)
pleasant pattern
(1.76%)
pleasant perspective
(-6.65%)
pleasant post processing
(2.72%)
pleasant reflection
(1.48%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.10%)
tastefully blurred
(-57.57%)
well chosen subject
(-12.26%)
well framed subject
(-40.75%)
well timed shot
(9.99%)
all
(-12.63%)
* 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.