Photos | Shoe Shopping by the Ocean
Camila Coutinho and Dave B browse for new shoes while enjoying the stunning ocean view from a deck in Jenner, California, as Lori S tries out a new pair.
BLIP-2 Description:
a man and a woman holding a pair of shoesMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
lori deck hat sky wood bridge sneaker land scenery ice food cap sandal boardwalk water accessories pier outdoors shoreline dave b sport life potted wristwatch soil staircase house blue nature waterfront glasses coast summer dessert sunglasses architecture baseball shoe footwear jeans bench beach portrait cream pants building sea ocean camila coutinho child girl sitting housing plant animal shirt photography glove lobster porch shorts cloudy shelter invertebrate tree grass furniture seafood fence outdoor
iso
32
metering mode
5
aperture
f/1.8
focal length
2mm
latitude
38.53
longitude
-123.28
shutter speed
1/168s
camera make
Apple
camera model
overall
(70.26%)
curation
(71.31%)
highlight visibility
(6.14%)
behavioral
(90.88%)
failure
(-0.07%)
harmonious color
(17.72%)
immersiveness
(0.49%)
interaction
(10.00%)
interesting subject
(79.64%)
intrusive object presence
(-30.86%)
lively color
(23.43%)
low light
(0.63%)
noise
(-2.25%)
pleasant camera tilt
(-2.25%)
pleasant composition
(11.75%)
pleasant lighting
(24.73%)
pleasant pattern
(2.83%)
pleasant perspective
(19.48%)
pleasant post processing
(15.95%)
pleasant reflection
(0.04%)
pleasant symmetry
(0.46%)
sharply focused subject
(6.57%)
tastefully blurred
(-7.74%)
well chosen subject
(22.33%)
well framed subject
(75.49%)
well timed shot
(25.39%)
all
(17.88%)
* 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 with AI (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.