Photos | Little Explorer - Wesley in Wonderland

Captured on the 1st of April, 2024, our little adventurer Wesley, joyfully raises his hands in the midst of a playful afternoon at home. Surrounded by the comforting interplay of modern interior design and natural decorative touches, this snap from our March Randoms album perfectly encapsulates the curiosity and innocence of childhood. With the warm sunbeam streaming through the window and the blend of wood and soft textures underfoot, home is truly where the heart is.
BLIP-2 Description:
a toddler standing on a rug with his hands upMetadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
architecture herbal door boy pants plant building portrait chair child window footwear cabinet bookcase living furniture pajamas flooring design wood bag shoe sitting hardware randoms shelf herbs indoors heights interior electronics screen hardwood table accessories room monitor couch home part potted tv photography decor wesley floor bernal computer handbag march
iso
200
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/73s
camera make
Apple
camera model
date
2024-04-01T16:04:56.828000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(48.54%)
curation
(66.69%)
highlight visibility
(5.78%)
behavioral
(90.76%)
failure
(-0.10%)
harmonious color
(3.34%)
immersiveness
(0.17%)
interaction
(2.00%)
interesting subject
(45.19%)
intrusive object presence
(-8.89%)
lively color
(10.79%)
low light
(6.49%)
noise
(-1.17%)
pleasant camera tilt
(-9.70%)
pleasant composition
(-28.49%)
pleasant lighting
(-13.34%)
pleasant pattern
(4.69%)
pleasant perspective
(3.84%)
pleasant post processing
(1.94%)
pleasant reflection
(-3.00%)
pleasant symmetry
(0.24%)
sharply focused subject
(2.61%)
tastefully blurred
(-3.45%)
well chosen subject
(-60.01%)
well framed subject
(65.58%)
well timed shot
(9.81%)
all
(1.22%)
* 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.