Photos | Red Dresses on the Beach
Jessica Nigri, Mark B, Mandy B, Ernie M, Aaron A, Dustin B, and Lenny R stand together wearing stunning red dresses in front of a beautiful cloudy sky and water body, creating a picturesque scene for a Hawaii wedding. Flower arrangements and bouquets in hand complete the elegant ensemble.
BLIP-2 Description:
a group of people in red dresses standing on the beachMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bridesmaid arrangement dress groom mandy outdoor water aaron a teylor d tie tuxedo ceremony footwear grass bride formal sky jessica nigri evening fashion flower bouquet wedding ernie m shoe cloudy gown mark coat flower arrangement formal wear bridegroom wedding gown plant melissa dustin suit summer wear accessories hawaii art hill land
iso
100
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
35mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(54.30%)
curation
(97.55%)
highlight visibility
(7.99%)
behavioral
(70.65%)
failure
(-0.27%)
harmonious color
(6.34%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(65.43%)
intrusive object presence
(-4.47%)
lively color
(6.35%)
low light
(12.55%)
noise
(-1.61%)
pleasant camera tilt
(-0.21%)
pleasant composition
(19.31%)
pleasant lighting
(-14.95%)
pleasant pattern
(5.32%)
pleasant perspective
(9.28%)
pleasant post processing
(-3.13%)
pleasant reflection
(2.22%)
pleasant symmetry
(0.88%)
sharply focused subject
(2.00%)
tastefully blurred
(-0.31%)
well chosen subject
(-3.44%)
well framed subject
(34.81%)
well timed shot
(15.80%)
all
(7.99%)
* 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.