Photos | Nighttime Magic at Disneyland
Wes, all smiles and ready to explore the enchanting world of Disneyland at night, amidst the captivating glow of lamppost-lit paths, picturesque garden landscapes, and striking architecture. #Disneyland2023 #MagicalNightAdventure
BLIP-2 Description:
a person standing in front of a building at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
architecture sweatshirt sleeve clock boy pants formal amusement urban plant building fence portrait flower footwear flower bouquet sweater cap arrangement outdoors flagstone sidewalk hat walkway purple standing slate cobblestone jar road outdoor graduation planter tree flooring baseball cap sky wes city bag shoe pottery land tower street agriculture disneyland coat teen shorts long metropolis path shrub nature cameron wear grass vase light suit accessories office night lighting part potted garden lamppost photography smile happy floor handbag park knitwear
iso
6400
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2023-06-12T20:59:36.977000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.56%)
curation
(65.33%)
highlight visibility
(5.53%)
behavioral
(70.59%)
failure
(-0.46%)
harmonious color
(4.31%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(40.23%)
intrusive object presence
(-5.15%)
lively color
(-19.84%)
low light
(93.12%)
noise
(-1.64%)
pleasant camera tilt
(-1.84%)
pleasant composition
(4.98%)
pleasant lighting
(-36.47%)
pleasant pattern
(7.25%)
pleasant perspective
(8.67%)
pleasant post processing
(-2.37%)
pleasant reflection
(2.13%)
pleasant symmetry
(2.25%)
sharply focused subject
(1.34%)
tastefully blurred
(-7.02%)
well chosen subject
(-33.03%)
well framed subject
(56.01%)
well timed shot
(17.52%)
all
(2.24%)
* 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.