Photos | Tom Holland's Unexpected TV Room Encounter at Disneyland

In 2023, during Disneyland with Wes Part 2, Tom Holland (Spider-Man actor) stumbles upon a cozy room filled with quirky memorabilia and a television. As fascinating objects catch his eye, it seems as though his Spidey senses led him to an intriguing retreat.
BLIP-2 Description:
a room with a television and a lot of items on the shelvesMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture cafeteria spoke urban building pub chair bar beverage ring hat restaurant furniture counter tom holland wes manufacturing bag art hardware machine shelf disneyland alcohol factory glasses indoors electronics jewelry screen table accessories monitor lab lighting game workshop part arcade computer handbag box
iso
25600
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2023-06-12T19:19:55.133000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.39%)
harmonious color
(3.12%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-54.69%)
intrusive object presence
(-12.28%)
lively color
(-25.85%)
low light
(98.83%)
noise
(-4.22%)
pleasant camera tilt
(-10.82%)
pleasant composition
(-85.55%)
pleasant lighting
(-39.84%)
pleasant pattern
(2.27%)
pleasant perspective
(5.72%)
pleasant post processing
(3.94%)
pleasant reflection
(-6.25%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.20%)
tastefully blurred
(-6.36%)
well chosen subject
(2.05%)
well framed subject
(-47.78%)
well timed shot
(6.70%)
all
(-6.28%)
* 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.