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:
lighting jacket car wheel machine cap leaf grass wheel outdoors room furniture shelter conifer potted hardwood floor baby wesley car vehicle hardhat happy child plant tree toy transportation hoodie sweatshirt indoors helmet accessories tire photography planter building architecture fir purple gets spoke jar vegetation portrait sweater coat hood pottery costume flooring living christmas hat flower smile vase knitwear yew alloy wood
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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