Photos | Wedding Bliss on the Grass
Tina Weirather and Jonathan Reynolds celebrating their special day with a crowd of 31 people on a grassy hill overlooking a picturesque lake in Hawaii, surrounded by stunning flora arrangements.
BLIP-2 Description:
a group of people posing for a photo on the grassChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities bride formal celebration plant leisure flower footwear gown eos environment wedding outdoors crowd outdoor sky hill shoe bag land grassland fashion jonathan fun scenery ceremony glasses picnic water tina weirather shore wear nature lake grass suit flower arrangement accessories bridesmaid handbag reynolds spring coast canon natural dress bouquet lawn cloudy march park hawaii
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2008-03-15T19:17:02-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.20%)
harmonious color
(7.30%)
immersiveness
(2.76%)
interaction
(1.00%)
interesting subject
(18.15%)
intrusive object presence
(-46.22%)
lively color
(-7.29%)
low light
(0.66%)
noise
(-1.17%)
pleasant camera tilt
(-6.48%)
pleasant composition
(-29.49%)
pleasant lighting
(-1.61%)
pleasant pattern
(1.10%)
pleasant perspective
(34.50%)
pleasant post processing
(6.68%)
pleasant reflection
(4.67%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.22%)
tastefully blurred
(-5.68%)
well chosen subject
(0.46%)
well framed subject
(-14.86%)
well timed shot
(15.72%)
all
(6.98%)
* 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.