Photos | The Top Hat Conversations

Hank Green and Wang Hao engage in a lively discussion with a gentleman in a top hat among the exquisite wooden furniture and hardwood flooring of a luxurious establishment.
BLIP-2 Description:
a man in a top hat and hat is talking to peopleMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
room cricket fedora furniture dress desk decor floor hardwood part home plant glass linen court wristwatch indoors shirt bag accessories beverage jewelry sport shelf pants pub glasses building cafeteria architecture hank backpack food wang hao interior table ball coat mobile cup phone restaurant alcohol green flooring overcoat handbag living rekognition_c bracelet headgear design hat defcon flower electronics plywood wood
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2011-08-03T19:45:41.220000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.36%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.51%)
harmonious color
(4.54%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-24.73%)
intrusive object presence
(-8.33%)
lively color
(-34.01%)
low light
(53.91%)
noise
(-2.98%)
pleasant camera tilt
(-5.80%)
pleasant composition
(-53.81%)
pleasant lighting
(-26.93%)
pleasant pattern
(5.35%)
pleasant perspective
(-1.82%)
pleasant post processing
(4.70%)
pleasant reflection
(-1.66%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.71%)
tastefully blurred
(-13.21%)
well chosen subject
(-15.65%)
well framed subject
(-2.45%)
well timed shot
(-2.72%)
all
(-3.84%)
* 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.