Photos | Toy Story Adventures in the Urban Jungle
Get a glimpse of our very own Toy Story, starring Dave B and young Wesley! Given the date and attire, Halloween seemed like the perfect day to transform into beloved characters and embark on a daring adventure. From cowboy hats to meticulous costume details, we've clearly mastered the art of make-believe. Bonus points if you can spot the city details and six-sponsored cars in the backdrop. Toy Story, eat your heart out!
BLIP-2 Description:
a man and a child dressed up as toy story charactersChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
architecture costume headgear pants spoke urban plant building baseball cowboy hat portrait cowboy cap outdoors transportation hat sidewalk road outdoor jacket dave b sky balloon city land street sun machine randoms coat heights tire path wheel rekognition_c car vehicle october hugging alloy potted automobile photography wesley bernal car wheel shelter
iso
1250
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/30s
camera make
Apple
camera model
date
2023-10-31T18:31:48.052000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(66.65%)
curation
(68.84%)
highlight visibility
(5.95%)
behavioral
(90.89%)
failure
(-0.15%)
harmonious color
(4.70%)
immersiveness
(0.17%)
interaction
(4.00%)
interesting subject
(79.59%)
intrusive object presence
(-4.76%)
lively color
(14.04%)
low light
(2.42%)
noise
(-1.76%)
pleasant camera tilt
(-1.17%)
pleasant composition
(10.11%)
pleasant lighting
(9.29%)
pleasant pattern
(10.91%)
pleasant perspective
(11.99%)
pleasant post processing
(6.26%)
pleasant reflection
(2.80%)
pleasant symmetry
(0.73%)
sharply focused subject
(8.74%)
tastefully blurred
(17.03%)
well chosen subject
(-40.09%)
well framed subject
(69.92%)
well timed shot
(32.10%)
all
(12.38%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.