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:
lighting machine cap room grass wheel outdoors furniture wagon conifer decor potted mower floor hosiery play baby device wesley vehicle car hardhat home plant tree toy transportation mammal indoors helmet area tire photography planter sock animal building architecture fir carriage gets spoke jar sphere christmas tree portrait rug pottery lawn costume living tool christmas truck hat decoration vase pickup alloy wood
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
(70.66%)
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,
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