Photos | Enchanting Pirate Cove
On our nighttime adventure at Disneyland with Wes Part 2, Beryl Cook captured the magic of this pirate ship nestled among stunning statues and mystical barrels. The lamplight casts a warm glow, illuminating the scene and creating a captivating atmosphere that sparks the imagination. #Disneyland2023 #PirateShip #MysteriousNight
BLIP-2 Description:
a scene of a pirate ship at night with statues and barrelsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban slate beryl cook dress canine church night animal outdoor house bird footwear bag altar sky disneyland dog wes prayer housing poultry mammal chicken arch building lighting shoe handbag outdoors nature pet crypt darkness staircase statue plant fowl handrail architecture life hat light tool monk temple accessories lamppost art part
iso
25600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(43.26%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-1.15%)
harmonious color
(4.62%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(1.15%)
intrusive object presence
(-7.10%)
lively color
(-35.06%)
low light
(100.00%)
noise
(-5.96%)
pleasant camera tilt
(-6.69%)
pleasant composition
(-37.01%)
pleasant lighting
(-48.19%)
pleasant pattern
(5.66%)
pleasant perspective
(12.18%)
pleasant post processing
(-1.87%)
pleasant reflection
(1.89%)
pleasant symmetry
(1.90%)
sharply focused subject
(0.46%)
tastefully blurred
(-10.13%)
well chosen subject
(-4.71%)
well framed subject
(-3.07%)
well timed shot
(9.22%)
all
(-2.60%)
* 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.