Photos | Wesley's First Steps on Adventure Road
Meet Wesley, our little adventurer, taking his first confident steps in his blue shoes, down an earth-touched road. Despite the odds and the terrain, our little hero is fearlessly forging his path in the vast world. The moment, captured perfectly on 11th November 2023, represents all things exciting, challenging, and hopeful as Wesley embarks on a journey of growth and exploration. Enjoy the blend of innocence and determination in this endearing portrait of baby steps towards life's adventure.
BLIP-2 Description:
a baby in blue shoes is walking on a dirt roadChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
knitwear jacket leaf academy grass outdoors long glove play wesley jeans car vehicle sycamore sitting body part child plant tree transportation sciences sleeve wood area photography woodland pants november footwear park vegetation portrait sweater shoes boy coat standing sneaker grove walking trunk land oak nature soil shoe
iso
1000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-11-11T15:49:05.550000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(56.74%)
curation
(66.13%)
highlight visibility
(5.59%)
behavioral
(70.69%)
failure
(-0.32%)
harmonious color
(6.06%)
immersiveness
(1.90%)
interaction
(1.00%)
interesting subject
(48.24%)
intrusive object presence
(-5.54%)
lively color
(0.95%)
low light
(1.71%)
noise
(-2.12%)
pleasant camera tilt
(-1.16%)
pleasant composition
(18.30%)
pleasant lighting
(4.52%)
pleasant pattern
(2.32%)
pleasant perspective
(15.86%)
pleasant post processing
(-1.51%)
pleasant reflection
(3.59%)
pleasant symmetry
(1.07%)
sharply focused subject
(12.08%)
tastefully blurred
(39.26%)
well chosen subject
(-11.27%)
well framed subject
(62.11%)
well timed shot
(24.21%)
all
(11.34%)
* 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.