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