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:
sleeve skin jeans bride coronation pants frame portrait gallery footwear loving hilary cawthorne wedding ted washington roy hat hillary flooring collage homo shoe freddie art williams begins ii poster politicon long rekognition_c sign cruz dc modern april t-shirt hillary's tattoo beard diego photography floor twitter advertisement painting blacklisted
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.