Photos | Magical Adventure Aboard Pirates of the Caribbean Ride
Marty Feldman, Georgiana Cavendish, and the Duchess of Devonshire delight in their experience of Disneyland's Pirates of the Caribbean ride, as they immerse in the captivating world of pirates, art and architecture! #Disneyland2023 #WesPart2 #PirateAdventure
BLIP-2 Description:
disneyland's pirates of the caribbean: the rideMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban recreation church night dress animal glasses duchess house bird footwear cavendish altar disneyland interior musical figurine theater theatre necklace wes prayer housing poultry jewelry chicken building stage lighting georgiana glove shoe outdoors nature sculpture shrine staircase archaeology room devonshire statue fowl marty feldman performance architecture life hat temple accessories indoors shelter art part
iso
16000
metering mode
5
aperture
f/2.8
focal length
25mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
overall
(43.09%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.63%)
failure
(-0.42%)
harmonious color
(4.64%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(39.82%)
intrusive object presence
(-6.27%)
lively color
(-41.87%)
low light
(99.56%)
noise
(-2.32%)
pleasant camera tilt
(-4.93%)
pleasant composition
(-30.00%)
pleasant lighting
(-33.01%)
pleasant pattern
(5.30%)
pleasant perspective
(8.20%)
pleasant post processing
(-15.08%)
pleasant reflection
(6.37%)
pleasant symmetry
(2.59%)
sharply focused subject
(1.25%)
tastefully blurred
(-12.88%)
well chosen subject
(-9.16%)
well framed subject
(3.97%)
well timed shot
(28.66%)
all
(-0.50%)
* 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.