Photos | Magical Moments at Disneyland's Restaurant
In the midst of Disney magic, our group came together for a delightful evening at this vibrant restaurant. Illuminated by enchanting lights, we indulged in scrumptious food, refreshing beverages, and enchanting conversation. So much more than a casual dining experience - this was truly a memory to treasure. #DisneylandWithWes #UnforgettableEvening
BLIP-2 Description:
people are standing in a restaurant with lights hanging from the ceilingChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
lighting room fan urban furniture dress dining baby hardware wesley part screen device lamp wear plant cafe fashion deli court wes formal indoors accessories bag beverage gown pub chair ceiling glasses cafeteria disneyland night life food monitor counter shop interior bar table painting cup alcohol restaurant electrical computer handbag appliance hat art electronics wood
iso
25600
metering mode
5
aperture
f/9
focal length
24mm
shutter speed
1/20s
camera make
Canon
camera model
lens model
date
2023-06-11T18:51:36.499000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.15%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.52%)
failure
(-0.44%)
harmonious color
(2.97%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-57.91%)
intrusive object presence
(-16.19%)
lively color
(-42.58%)
low light
(99.56%)
noise
(-3.76%)
pleasant camera tilt
(-11.82%)
pleasant composition
(-91.31%)
pleasant lighting
(-66.89%)
pleasant pattern
(3.34%)
pleasant perspective
(-5.29%)
pleasant post processing
(6.29%)
pleasant reflection
(1.36%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.07%)
tastefully blurred
(-16.25%)
well chosen subject
(13.01%)
well framed subject
(-50.83%)
well timed shot
(-1.73%)
all
(-10.78%)
* 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.