Photos | Casual Moments at a San Francisco Cafe
Discovering tranquility in the hustle and bustle of San Francisco life. Pictured: an unidentified man engrossed in his phone while enjoying a beverage, a regular scene in this vibrant city. The photograph elegantly captures the essence of urban life amidst a seemingly busy background, right from the ping pong match to the thoughtful flower arrangements. Captured on Hi-Li's 5th Birthday - 16th September 2023.
BLIP-2 Description:
a man sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
r ping pong paddle cream cap drinking ping birthday furniture crawl glove baby drink part tableware juice plant glass cafe racket court indoors accessories beverage ice photography baseball hollow lunch sport chair business arrangement glasses building cafeteria cow architecture card food dessert utensil portrait text table dining table mobile cup phone restaurant plywood meal headgear pong hat paper flower hi-li electronics hospital wood
iso
640
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-09-16T15:30:25.255000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.42%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.12%)
harmonious color
(8.76%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(32.10%)
intrusive object presence
(-9.67%)
lively color
(1.56%)
low light
(2.86%)
noise
(-0.73%)
pleasant camera tilt
(-1.48%)
pleasant composition
(-39.99%)
pleasant lighting
(-12.63%)
pleasant pattern
(2.17%)
pleasant perspective
(11.29%)
pleasant post processing
(5.25%)
pleasant reflection
(-1.87%)
pleasant symmetry
(0.56%)
sharply focused subject
(5.83%)
tastefully blurred
(20.34%)
well chosen subject
(-14.58%)
well framed subject
(53.66%)
well timed shot
(30.64%)
all
(5.76%)
* 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.