Photos | Building Advocacy

A man in a suit stands proud in front of a building, holding a sign advocating for its preservation. The beautifully designed flooring and plywood walls provide the perfect backdrop for his plea.
BLIP-2 Description:
a man in a suit holding a sign in front of a buildingMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
museum architecture tie insid materials formal openin win building sponsor overcoat publication footwear gallery plywood lamp grand library rika muranaka outdoor jacket flooring design wood shoe bag art glove srpc coat glasses indoors poster supplies raw book corridor wear interior sign walk drawing suit accessories stuff architectural official show free floor advertisement shop inter great
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
20mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2008-11-13T18:29:02-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.62%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.44%)
harmonious color
(-2.04%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-10.74%)
intrusive object presence
(-8.13%)
lively color
(-10.32%)
low light
(35.18%)
noise
(-2.76%)
pleasant camera tilt
(-9.84%)
pleasant composition
(-43.19%)
pleasant lighting
(-35.06%)
pleasant pattern
(9.38%)
pleasant perspective
(-3.45%)
pleasant post processing
(2.66%)
pleasant reflection
(-3.98%)
pleasant symmetry
(1.20%)
sharply focused subject
(1.07%)
tastefully blurred
(-6.78%)
well chosen subject
(-34.79%)
well framed subject
(16.69%)
well timed shot
(0.39%)
all
(-4.35%)
* 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.