Photos | Protesting for Change
A woman holds up her sign at a crowded demonstration in the heart of the city, surrounded by a diverse group of people of all genders and ages.
BLIP-2 Description:
a woman holding a sign in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
advertisement urban planter dress plate jacket chair blazer handbag nature name high sunglasses text blouse accessories cap backpack vegetation portrait palm poster garden path condo housing sidewalk building license electronics outdoors jar plant downtown metropolis baseball photography arrangement jeans transportation shirt formal vase grass rise old_eecue pedestrian sign shoe pottery neighborhood architecture wear banner furniture shrub walking potted plant rekognition_c street outdoor graduation footwear bag no tree city decorative protest flower coat office pants parade road vehicle suit speaker hat shelter
overall
(24.26%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.27%)
harmonious color
(-2.14%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-40.55%)
intrusive object presence
(-14.50%)
lively color
(2.67%)
low light
(7.64%)
noise
(-5.81%)
pleasant camera tilt
(-9.19%)
pleasant composition
(-82.52%)
pleasant lighting
(-38.75%)
pleasant pattern
(8.30%)
pleasant perspective
(-9.36%)
pleasant post processing
(0.75%)
pleasant reflection
(0.97%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.20%)
well chosen subject
(-47.09%)
well framed subject
(-56.74%)
well timed shot
(-7.94%)
all
(-9.65%)
* 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.