Photos | A Cherished Tablescape: An Afternoon at Fort Mason
Dave B. and young Wesley immersed in their outdoor delight, enjoying relishing meals and sharing stories seated at the dining table. Captured in the heart of Fort Mason, this photograph highlights the simplicity yet significance of everyday life moments. As they feast under the enthralling sky, their wristwatches remind us of one universal fact – time spent with family is worth every second.
BLIP-2 Description:
a man and a child sitting at a tableChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
cutlery architecture cafeteria boy spoon tableware building meal food window child portrait footwear dish plywood lamp wristwatch luggage fort cabinet living restaurant furniture outdoor utensil sky container wood shoe icing pottery court dessert sitting dave desk shirt cream indoors lunch tabletop dining fork hardwood table room couch photography wesley mason body part
iso
250
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2023-12-10T16:43:13.570000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(45.83%)
curation
(68.16%)
highlight visibility
(5.90%)
behavioral
(90.86%)
failure
(-0.37%)
harmonious color
(-0.82%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(1.70%)
intrusive object presence
(-20.21%)
lively color
(-13.31%)
low light
(65.09%)
noise
(-0.76%)
pleasant camera tilt
(-5.48%)
pleasant composition
(-57.47%)
pleasant lighting
(-39.67%)
pleasant pattern
(5.71%)
pleasant perspective
(9.67%)
pleasant post processing
(3.98%)
pleasant reflection
(2.76%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.71%)
tastefully blurred
(-9.85%)
well chosen subject
(-30.54%)
well framed subject
(12.87%)
well timed shot
(7.31%)
all
(-3.15%)
* 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.