Photos | The Poster Wall

A man stands in front of a wall of political posters featuring Ted Cruz, Hilary Cawthorne, and Freddie Williams II, wearing a T-shirt and pants with a collage of modern art, while the colorful frame and shoes add an artistic touch to the scene.
BLIP-2 Description:
a man standing in front of a wall of postersMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
hillary hillary's frame washington diego long floor poster jeans t-shirt cruz tattoo skin sleeve sign photography dc gallery hilary cawthorne pants roy blacklisted footwear homo begins coronation politicon april collage portrait painting freddie bride williams flooring ted twitter rekognition_c modern loving advertisement hat art ii beard wedding shoe
Detected Text
iso
800
metering mode
5
aperture
f/2.8
focal length
27mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2015-10-10T14:45:32.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.53%)
failure
(-0.29%)
harmonious color
(-4.70%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-12.08%)
intrusive object presence
(-6.91%)
lively color
(0.17%)
low light
(10.33%)
noise
(-4.25%)
pleasant camera tilt
(-9.24%)
pleasant composition
(-14.95%)
pleasant lighting
(-31.05%)
pleasant pattern
(4.00%)
pleasant perspective
(-2.92%)
pleasant post processing
(2.47%)
pleasant reflection
(-8.38%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.61%)
tastefully blurred
(-10.55%)
well chosen subject
(-14.43%)
well framed subject
(36.50%)
well timed shot
(-3.50%)
all
(-2.17%)
* 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.