Photos | A Special Afternoon: Hi-Li's 5th Birthday Celebration

Taken in San Francisco on September 16th, 2023, this charming photograph captures a cozy scene with a man and a loyal dog sharing table space. Amidst friends, family and the inviting interiors of a local restaurant, memories are weaved into the fabric of everyday life. Whether it's the baseball hat adding a casual flair, or the merriment reflecting off gleaming tableware, every detail contributes to the joy of Hi-Li's 5th birthday celebration.
BLIP-2 Description:
a man sitting at a table with a dogMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
cream cap room drinking birthday furniture crawl baseball cap dining vr sitting part glass cafe court mammal indoors accessories bag ice photography baseball hollow animal lunch chair glasses building cafeteria cow architecture food dessert utensil portrait table dining table mobile cup phone restaurant bubba's plywood meal handbag headgear canine hat hi-li electronics tableware wood
iso
640
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-09-16T15:30:26.055000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.83%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.15%)
harmonious color
(5.39%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-10.50%)
intrusive object presence
(-7.86%)
lively color
(1.77%)
low light
(0.93%)
noise
(-0.49%)
pleasant camera tilt
(-2.31%)
pleasant composition
(-60.60%)
pleasant lighting
(-25.29%)
pleasant pattern
(2.17%)
pleasant perspective
(3.77%)
pleasant post processing
(3.68%)
pleasant reflection
(-1.79%)
pleasant symmetry
(0.24%)
sharply focused subject
(2.54%)
tastefully blurred
(10.60%)
well chosen subject
(-21.95%)
well framed subject
(26.00%)
well timed shot
(18.64%)
all
(-0.17%)
* 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.