Photos | Protesters Rally Against Inequality
Arabella Weir and Sandra Alland join the crowd in front of a building, holding signs and demanding change. Their outfits are completed with stylish footwear, handbags, and coats.
BLIP-2 Description:
people are standing outside of a building with signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture cafeteria jeans boy pants building overcoat food mobile footwear plywood outdoors hat sidewalk walkway crowd slate alland restaurant jacket flooring court wood shoe bag camera coat glasses indoors poster teen airport path bus electronics логек sandra accessories сли walking cafe stop phone terminal floor advertisement arabella weir handbag shelter
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/191s
camera make
Apple
camera model
lens model
date
2018-03-24T10:59:54.170000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.39%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.54%)
harmonious color
(0.64%)
immersiveness
(1.05%)
interaction
(8.00%)
interesting subject
(-47.73%)
intrusive object presence
(-7.40%)
lively color
(-9.18%)
low light
(20.00%)
noise
(-5.49%)
pleasant camera tilt
(-9.27%)
pleasant composition
(-66.65%)
pleasant lighting
(-46.80%)
pleasant pattern
(12.38%)
pleasant perspective
(-10.68%)
pleasant post processing
(-1.97%)
pleasant reflection
(-2.38%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.22%)
tastefully blurred
(-1.37%)
well chosen subject
(-33.20%)
well framed subject
(-48.90%)
well timed shot
(-4.60%)
all
(-8.86%)
* 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.