Photos | Nighttime Adventure at Disneyland
David Anthony Higgins exploring the vibrant streets of Disneyland, surrounded by the captivating night sky, illuminated lampposts, and fellow park-goers. An unforgettable night filled with laughter, memories, and cherished moments with Wes. #Disneyland2023 #NighttimeStrolls
BLIP-2 Description:
a man in a cap is standing on the street at nightMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
urban wheel backpack street lamp night glasses portrait outdoor footwear night life bag leisure path sky disneyland shorts officer david anthony higgins crowd pedestrian wes dancing activities city sidewalk building vigil lighting outdoors shoe handbag nature coat neighborhood metropolis road cameron baseball machine hat light accessories lamppost photography walking walkway cap part land
iso
2500
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(25.88%)
curation
(65.33%)
highlight visibility
(5.68%)
behavioral
(90.80%)
failure
(-1.54%)
harmonious color
(1.31%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-50.24%)
intrusive object presence
(-6.64%)
lively color
(-36.67%)
low light
(98.58%)
noise
(-2.61%)
pleasant camera tilt
(-7.73%)
pleasant composition
(-90.97%)
pleasant lighting
(-50.44%)
pleasant pattern
(1.93%)
pleasant perspective
(-4.84%)
pleasant post processing
(4.05%)
pleasant reflection
(5.98%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.15%)
tastefully blurred
(-68.99%)
well chosen subject
(-9.61%)
well framed subject
(-53.76%)
well timed shot
(-8.79%)
all
(-11.01%)
* 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.