Photos | Morning Light & Water Delight
Wesley taking in the bright California sky as he savors his refreshing cup of water in Belvedere Tiburon. Enveloped by stunning architecture and surrounded by the tranquility of nature, there's nothing quite like an outdoor meal to kickstart a beautiful day. Taken as part of 'Randoms November', this moment encapsulates the simple joys of life.
BLIP-2 Description:
a young boy sitting at a table with a cup of waterMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
urban cutlery tablecloth diner interior food potted chair linen harbor nature decor cafe cup shellas sunglasses pole meal accessories dining boat sea reet wood portrait restaurant tiburon ice randoms court sky spoon housing table building outdoors desk dessert umbrella pier plant dish downtown summer mast photography indoors november transportation shirt cream glaze yacht lunch lighting canopy ponderi pottery neighborhood tabletop toners architecture blue design wesley furniture home street lamp child outdoor water sun cloud waterfront city fork helmet room road beverage vehicle hat utensil sailboat shelter
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.87
longitude
-122.46
shutter speed
1/1449s
camera make
Apple
camera model
overall
(43.65%)
curation
(65.98%)
highlight visibility
(5.73%)
behavioral
(90.79%)
failure
(-0.20%)
harmonious color
(3.33%)
immersiveness
(0.29%)
interaction
(4.00%)
interesting subject
(-0.21%)
intrusive object presence
(-21.24%)
lively color
(13.76%)
low light
(5.76%)
noise
(-1.90%)
pleasant camera tilt
(-1.76%)
pleasant composition
(-45.70%)
pleasant lighting
(-8.38%)
pleasant pattern
(10.50%)
pleasant perspective
(7.74%)
pleasant post processing
(4.26%)
pleasant reflection
(-0.86%)
pleasant symmetry
(0.63%)
sharply focused subject
(2.17%)
tastefully blurred
(5.64%)
well chosen subject
(-32.01%)
well framed subject
(26.37%)
well timed shot
(5.19%)
all
(1.51%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.