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:
us gang necklace pants urban plant baseball footwear iraq cap decorative transportation luggage hat jar road outdoor iz planter handwriting drop performance container bag shoe city text land pottery street document parade no camera poster 的 war electronics sign banner backpack jewelry vehicle vase accessories recreation bush handbag buse es potted plant knew 州 protest advertisement crowd old_eecue
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.