Photos | Lunchtime Adventures

Wesley enjoys a playful meal at the dining table, embracing the messy fun of lunchtime.
Full Description:
Captured in April 2024, this candid moment pictures Wesley fully immersed in his meal, where focus and curiosity lead the way. Sitting at a dining table, Wesley uses his hands and fork to explore the tastes and textures of his lunch, making a delightful mess that's all part of the experience. The scene takes place indoors, with subtle architectural details providing a cozy backdrop, and a curious canine friend eagerly watching nearby. This snapshot of childhood perfectly encapsulates the joys and discoveries of mealtime.
Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
architecture cutlery dining table cafeteria boy spoon tableware plant building meal food portrait child flower brunch dish restaurant furniture utensil ice wood icing breakfast eating dessert randoms cream indoors lunch tabletop heights dining sweets bread fork table room april couch plate snack part photography wesley bernal
iso
250
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/60s
camera make
Apple
camera model
date
2024-04-07T18:43:20.282000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(53.13%)
curation
(65.47%)
highlight visibility
(5.53%)
behavioral
(70.42%)
failure
(-0.12%)
harmonious color
(8.21%)
immersiveness
(0.07%)
interaction
(6.00%)
interesting subject
(16.24%)
intrusive object presence
(-4.93%)
lively color
(9.43%)
low light
(6.86%)
noise
(-1.10%)
pleasant camera tilt
(-1.99%)
pleasant composition
(-35.89%)
pleasant lighting
(3.66%)
pleasant pattern
(2.44%)
pleasant perspective
(10.27%)
pleasant post processing
(2.90%)
pleasant reflection
(2.44%)
pleasant symmetry
(0.20%)
sharply focused subject
(5.10%)
tastefully blurred
(6.36%)
well chosen subject
(-25.85%)
well framed subject
(36.40%)
well timed shot
(14.10%)
all
(5.44%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4o-2024-08-06
from
OpenAI)
using OpenAI's Vision functionality
, 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.