Photos | Magical Night at Disneyland 2023
Amy Rutberg enjoying the vibrant cityscape and dazzling lights during a delightful visit to Disneyland with Wes in June 2023. A night to remember, filled with laughter, adventure, and unforgettable memories.
BLIP-2 Description:
disneyland disneyland disneyland disneyland disneyland disneyland disMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban wheel storefront cameron j street flooring slate night glasses restaurant transportation town outdoor footwear bag train motorcycle path mall disneyland shorts floor wes pedestrian tree amy rutberg potted city shop sidewalk building lighting intersection shoe handbag outdoors tarmac nature neighborhood pants plant area metropolis shopping road vehicle architecture machine station hat life terminal light railway accessories photography indoors walking walkway shelter crowd part
iso
10000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
overall
(38.72%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.67%)
failure
(-0.88%)
harmonious color
(4.48%)
immersiveness
(2.95%)
interaction
(1.00%)
interesting subject
(-65.23%)
intrusive object presence
(-8.06%)
lively color
(-26.37%)
low light
(59.57%)
noise
(-1.34%)
pleasant camera tilt
(-9.45%)
pleasant composition
(-78.52%)
pleasant lighting
(-58.54%)
pleasant pattern
(2.98%)
pleasant perspective
(-4.23%)
pleasant post processing
(5.36%)
pleasant reflection
(-0.42%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.15%)
tastefully blurred
(-10.66%)
well chosen subject
(7.63%)
well framed subject
(-58.79%)
well timed shot
(-9.38%)
all
(-8.39%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.