Photos | A Man, A Bowl, and the Art of Hydration

Caught in the urban charm of a bustling food court on January 13, 2024, Wesley carefully pours water into a large bowl — a simple act transformed into exquisite artistry under the watchful eyes of his 13 companions. Their gathered assembly, imbued with a fusion of city life and plywood ambiance, echoes a symphony of camaraderie. The photo was taken as part of the 'Exploratorium with Wesley' series. It's not just about the places we visit, but also the individual moments and actions that culminate in an unforgettable experience.
BLIP-2 Description:
a man is pouring water into a large bowlMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture cafeteria jeans pants urban building pub meal food portrait footwear plywood wristwatch hat luggage purse furniture restaurant court container exploratorium bag city wood shoe glasses indoors factory dining brewery backpack table accessories handbag cafe lighting photography wesley crowd
iso
12800
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2024-01-13T11:38:23.510000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.63%)
harmonious color
(-2.20%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-42.65%)
intrusive object presence
(-8.18%)
lively color
(-18.52%)
low light
(83.94%)
noise
(-6.52%)
pleasant camera tilt
(-4.68%)
pleasant composition
(-79.10%)
pleasant lighting
(-50.83%)
pleasant pattern
(4.79%)
pleasant perspective
(2.27%)
pleasant post processing
(-3.20%)
pleasant reflection
(-5.65%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.54%)
tastefully blurred
(-12.23%)
well chosen subject
(-28.08%)
well framed subject
(-33.08%)
well timed shot
(10.71%)
all
(-8.43%)
* 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,
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