Photos | Wesley's First Bite at One

Captured on Wesley's first birthday, this charming picture encapsulates our little star perched atop his high chair, surrounded by a welcoming interior. The mixture of laughter and curiosity on his face as he embarks on the culinary journey of his birthday meal, is a sight to behold. Held securely amidst the sturdy wooden furniture and detailed architecture, Wesley looks ready to make the most of his ice cream treat. Situated by the window, the room exudes a warm, inviting ambiance, embodying the thrill of the memorable day.
BLIP-2 Description:
a baby in a high chair sitting in a roomMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
spoon cream fork room birthday furniture eating floor hardwood tabletop dining play baby wesley sitting part child high indoors area ice shirt photography window chair building cafeteria architecture food first portrait interior table dining table mobile cutlery phone restaurant meal flooring design dessert living room electronics plywood wood
iso
8000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-07-11T17:38:43.400000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(63.82%)
curation
(66.26%)
highlight visibility
(5.60%)
behavioral
(70.68%)
failure
(-0.12%)
harmonious color
(4.80%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(49.66%)
intrusive object presence
(-8.86%)
lively color
(-9.62%)
low light
(2.64%)
noise
(-0.42%)
pleasant camera tilt
(-0.26%)
pleasant composition
(0.29%)
pleasant lighting
(-0.23%)
pleasant pattern
(4.98%)
pleasant perspective
(15.14%)
pleasant post processing
(6.63%)
pleasant reflection
(-0.93%)
pleasant symmetry
(0.68%)
sharply focused subject
(14.21%)
tastefully blurred
(38.92%)
well chosen subject
(-10.15%)
well framed subject
(77.78%)
well timed shot
(19.85%)
all
(9.57%)
* 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.