Photos | Mickey Mouse Sign Selfie

Timmy Trumpeter, Dave B, and Lori S strike a pose in front of the iconic Mickey Mouse sign at Disneyland Park in California.
BLIP-2 Description:
a man and woman pose for a photo in front of the mickey mouse signMetadata
Capture date:
Original Dimensions:
1932w x 2576h - (download 4k)
Usage
Dominant Color:
Location:
housing path cap shelter grass outdoors villa potted lori th dave b happy plant tree summer accessories garden equipment photography shirt planter anaheim outdoor sunglasses optical timmy trumpeter glasses building park celebration architecture selfie hedge backyard polka purple resort jar vegetation dots portrait shrub pottery lawn house yard land flower art fence hat smile nature vase petal neighborhood
Detected Text
iso
32
metering mode
1
aperture
f/2.2
focal length
3mm
latitude
33.81
longitude
-117.92
shutter speed
1/393s
camera make
Apple
camera model
lens model
date
2016-06-12T13:39:54.677000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.54%)
curation
(69.20%)
highlight visibility
(5.98%)
behavioral
(90.75%)
failure
(-0.15%)
harmonious color
(-0.73%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(49.32%)
intrusive object presence
(-3.03%)
lively color
(30.18%)
low light
(1.93%)
noise
(-2.61%)
pleasant camera tilt
(-1.10%)
pleasant composition
(-0.53%)
pleasant lighting
(-1.86%)
pleasant pattern
(15.89%)
pleasant perspective
(-14.38%)
pleasant post processing
(4.49%)
pleasant reflection
(-5.72%)
pleasant symmetry
(0.68%)
sharply focused subject
(5.91%)
tastefully blurred
(4.33%)
well chosen subject
(-5.89%)
well framed subject
(51.37%)
well timed shot
(6.17%)
all
(6.21%)
* 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-3.5-turbo-0301
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.