Photos | Soaring Happiness in Wonderland
Caught in a moment of pure joy, our adventurer leaps through the air amidst the charming scenery of our Disneyland adventure. Surrounded by lush greenery and quaint villa homes, every jump fills our hearts with excitement and happiness. Join us on our enchanting journey in 2023's Disneyland with Wes Part 2 album.
BLIP-2 Description:
a person jumping in the air in front of a houseChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture sweatshirt villa brick pants neighborhood mansion urban rock plant building fence soil portrait hoodie hedge footwear baseball sweater cap yard outdoors flagstone hat sidewalk walkway castle tree purple cobblestone condo road outdoor house jacket fortress wes lady shoe city land street glove shirt disneyland coat hood glasses porch path shrub nature cameron grass sneaker backyard accessories office night walking housing lighting part knitwear potted photography smile happy park shelter
iso
20000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2023-06-12T20:56:45.399000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.52%)
curation
(65.51%)
highlight visibility
(5.69%)
behavioral
(90.72%)
failure
(-0.32%)
harmonious color
(3.45%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(51.66%)
intrusive object presence
(-4.10%)
lively color
(-27.76%)
low light
(67.48%)
noise
(-2.20%)
pleasant camera tilt
(-0.22%)
pleasant composition
(25.61%)
pleasant lighting
(-18.46%)
pleasant pattern
(12.13%)
pleasant perspective
(17.32%)
pleasant post processing
(4.52%)
pleasant reflection
(3.96%)
pleasant symmetry
(4.03%)
sharply focused subject
(4.44%)
tastefully blurred
(2.26%)
well chosen subject
(-6.90%)
well framed subject
(70.21%)
well timed shot
(18.99%)
all
(8.55%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0314
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.