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:
water furniture architecture cloudy bench shelter food beach boardwalk building coast camila coutinho ocean plant potted hat deck photography sitting tree lobster glasses grass girl dave b glove pants porch summer staircase blue child pier shirt shoe life soil cream outdoors animal dessert portrait house wood cap sneaker shoreline jeans ice shorts outdoor land sport seafood wristwatch scenery sky lori housing nature waterfront footwear sandal sea accessories baseball fence bridge invertebrate sunglasses
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 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.