Photos | Wesley's Festive Ride
Captured on December 9, 2023, this heart-warming photograph represents young Wesley's joy of Christmas. Safely nestled in his toy car, Wesley seems to navigate his way towards holiday fun with the precious load of Christmas tree atop. With pure happiness lighting up his face, the playful attire, and a backdrop decked out like a living room, the comfort, warmth, and cheer of the season truly come alive.
BLIP-2 Description:
a child in a toy car with a christmas tree on topChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture sweatshirt costume spoke conifer hoodie plant building portrait child flower sweater baby cap outdoors jar hat transportation purple tree living leaf furniture jacket planter hardhat flooring wood shelter pottery machine hood coat indoors tire helmet wheel car vase hardwood vehicle fir vegetation grass room accessories christmas alloy lighting knitwear yew potted photography smile happy wesley floor gets car wheel toy
iso
64000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-12-09T19:02:17.710000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(53.66%)
curation
(66.38%)
highlight visibility
(5.61%)
behavioral
(70.65%)
failure
(-0.10%)
harmonious color
(2.54%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(35.57%)
intrusive object presence
(-3.34%)
lively color
(7.63%)
low light
(11.57%)
noise
(-1.95%)
pleasant camera tilt
(1.48%)
pleasant composition
(18.02%)
pleasant lighting
(5.09%)
pleasant pattern
(4.32%)
pleasant perspective
(20.10%)
pleasant post processing
(-5.27%)
pleasant reflection
(-2.50%)
pleasant symmetry
(1.20%)
sharply focused subject
(3.96%)
tastefully blurred
(-8.01%)
well chosen subject
(-1.16%)
well framed subject
(66.65%)
well timed shot
(7.90%)
all
(9.13%)
* 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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