Photos | Wesley's Jolly Christmas Drive
This is a celebratory moment captured on 9th December 2023. Adorned in festive gear, our star, Wesley, brims with joy as he takes his little toy car for a spin around the Christmas tree. His antics, gladdening our hearts, only enhance the twinkling decoration, giving us another reason to cherish the ho-ho-holiday season. The living room comes alive with laughter, merriment and the spirit of Christmas. Drive safe, Wesley!
BLIP-2 Description:
a child in a toy car with a christmas treeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
car floor sock lawn photography play grass wheel vehicle indoors outdoors potted fir conifer hosiery pottery pickup plant rug hardhat helmet animal wagon mower lighting area mammal sphere tool hat carriage device building furniture architecture tire christmas tree portrait decoration cap wood living planter room transportation wesley baby vase home toy truck alloy decor machine jar costume tree christmas gets spoke
iso
40000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-12-09T19:04:04.150000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(47.29%)
curation
(89.94%)
highlight visibility
(7.40%)
behavioral
(70.65%)
failure
(-0.12%)
harmonious color
(1.57%)
immersiveness
(0.15%)
interaction
(6.00%)
interesting subject
(33.18%)
intrusive object presence
(-24.10%)
lively color
(-1.18%)
low light
(5.27%)
noise
(-0.81%)
pleasant camera tilt
(1.13%)
pleasant composition
(-25.02%)
pleasant lighting
(8.31%)
pleasant pattern
(1.81%)
pleasant perspective
(14.32%)
pleasant post processing
(-5.26%)
pleasant reflection
(4.53%)
pleasant symmetry
(0.49%)
sharply focused subject
(7.57%)
tastefully blurred
(1.91%)
well chosen subject
(-40.31%)
well framed subject
(63.23%)
well timed shot
(23.40%)
all
(5.37%)
* 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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