Photos | Christmas Ride: A Merry Journey Begins
In our Random December '23 album, we captured the priceless moment of young Wesley embarking on an indoor adventure with his toy bike. Surrounded by the luminous allure of our Christmas tree and festive decorations, there’s no better way to celebrate the beautiful morning of Christmas 2023. Note the array of colorfully wrapped gifts promising joy, and the playful sparkle in Wesley's eyes. Nothing quite compares to a child's enthusiasm on this magical day.
BLIP-2 Description:
a young boy riding a toy bike in front of a christmas treeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2160w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
architecture december plant building portrait child festival footwear flower baby luggage hat fireplace tree living furniture rug decorations decoration christmas tree container bag shoe machine heights indoors gift alma wheel room play recreation christmas home potted decor photography wesley bernal random toy
Detected Text
iso
125
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/120s
camera make
Apple
camera model
date
2023-12-25T08:33:45.108000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(35.74%)
curation
(69.82%)
highlight visibility
(5.87%)
behavioral
(70.51%)
failure
(-0.54%)
harmonious color
(5.53%)
immersiveness
(0.61%)
interaction
(10.00%)
interesting subject
(-3.38%)
intrusive object presence
(-7.18%)
lively color
(13.53%)
low light
(11.91%)
noise
(-17.33%)
pleasant camera tilt
(-9.10%)
pleasant composition
(-47.02%)
pleasant lighting
(-33.67%)
pleasant pattern
(13.04%)
pleasant perspective
(-2.16%)
pleasant post processing
(2.86%)
pleasant reflection
(3.93%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.63%)
tastefully blurred
(-21.69%)
well chosen subject
(-38.06%)
well framed subject
(-13.59%)
well timed shot
(-4.37%)
all
(-2.84%)
* 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.