Photos | Protesters Take to the Streets
A crowd of 28 people, including 3 men and 4 adults, hold signs and march through the city streets during a parade protesting against land development. Potted plants and decorative accessories add to the colorful and lively atmosphere of the demonstration.
BLIP-2 Description:
a group of people holding signs and protesting in the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
protest pants drop vehicle backpack footwear container handwriting iraq no pottery plant urban decorative 的 city recreation advertisement parade sign knew old_eecue necklace street hat document land potted plant road baseball camera luggage jewelry handbag crowd text cap 州 gang planter es transportation vase us electronics outdoor performance buse poster iz banner jar bush war bag shoe accessories
date
2003-02-17T17:59:48-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.50%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.32%)
harmonious color
(-3.35%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-41.85%)
intrusive object presence
(-8.35%)
lively color
(-4.50%)
low light
(5.52%)
noise
(-14.65%)
pleasant camera tilt
(-10.16%)
pleasant composition
(-77.98%)
pleasant lighting
(-36.82%)
pleasant pattern
(7.23%)
pleasant perspective
(-7.16%)
pleasant post processing
(2.42%)
pleasant reflection
(-0.27%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.24%)
tastefully blurred
(-5.47%)
well chosen subject
(-27.39%)
well framed subject
(-63.28%)
well timed shot
(-5.92%)
all
(-8.68%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.