Photos | Youngster's Playful Kitchen Adventures

Taken from our 2024 January Randoms album - Here's Wesley in his element – the kitchen. A vivid representation of a delightful afternoon around food and fun, exploring the tastes and textures of fruits and meals. Donning casual clothing, and armed with utensils, he is playfully indulging in food creations right on our dining table – truly a memorable sight! Notice the overlooked details: the wooden flooring, his apparel, and the multitude of everyday objects around.
BLIP-2 Description:
a young boy standing in front of a kitchen sink with foodMetadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
cutlery architecture kitchen boy spoon tableware pants bowl plant building meal food portrait child footwear fruit dish furniture utensil flooring carton ice container shoe wood dessert sitting randoms cream indoors lunch shorts heights dining january sweets sphere fork table room play recreation snack part photography wesley floor cup produce bernal apple bottle
iso
640
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/40s
camera make
Apple
camera model
date
2024-01-19T17:57:03.385000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(40.06%)
curation
(66.41%)
highlight visibility
(5.61%)
behavioral
(70.59%)
failure
(-0.32%)
harmonious color
(-0.29%)
immersiveness
(0.10%)
interaction
(4.00%)
interesting subject
(29.37%)
intrusive object presence
(-8.23%)
lively color
(13.33%)
low light
(15.77%)
noise
(-4.93%)
pleasant camera tilt
(-6.39%)
pleasant composition
(-38.92%)
pleasant lighting
(-13.70%)
pleasant pattern
(5.00%)
pleasant perspective
(-1.87%)
pleasant post processing
(-2.61%)
pleasant reflection
(-2.31%)
pleasant symmetry
(0.22%)
sharply focused subject
(1.22%)
tastefully blurred
(-15.95%)
well chosen subject
(-36.50%)
well framed subject
(32.18%)
well timed shot
(16.53%)
all
(0.20%)
* 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.