Photos | Graduation Night at Disneyland

Celebrating the magical milestone of graduation, a proud graduate poses in front of a captivating statue amidst the dazzling lights of Disneyland's vibrant scene. With the enchanting night sky above, this unforgettable moment was perfectly captured and will forever be cherished.
BLIP-2 Description:
a man in a graduation cap poses for a picture in front of a statueMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
lighting shirt housing path cap walkway shelter knitwear city urban outdoors dress playboi baseball potted cart geranium part sky plant tree amusement wes mammal downtown graduation accessories sidewalk photography garden planter bag outdoor street animal tower road arrangement sunglasses night glasses footwear building park architecture crowd disneyland purple backpack pet flower bouquet jar landscape concert parade portrait sweater office metropolis shrub pottery costume clock cameron land carnival statue hat art flower nature vase petal neighborhood cat shoe
iso
6400
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-12T21:09:29.666000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.85%)
curation
(66.26%)
highlight visibility
(5.75%)
behavioral
(90.71%)
failure
(-0.22%)
harmonious color
(3.81%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(11.68%)
intrusive object presence
(-11.28%)
lively color
(-30.05%)
low light
(83.25%)
noise
(-3.83%)
pleasant camera tilt
(-6.51%)
pleasant composition
(-82.71%)
pleasant lighting
(-47.44%)
pleasant pattern
(6.23%)
pleasant perspective
(5.81%)
pleasant post processing
(3.17%)
pleasant reflection
(2.05%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.20%)
tastefully blurred
(-14.76%)
well chosen subject
(-12.24%)
well framed subject
(-27.44%)
well timed shot
(12.49%)
all
(-5.80%)
* 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.