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 crowdMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
formal urban plant portrait chair speaker graduation text license parade shrub electronics backpack suit downtown walking photography handbag shelter architecture jeans pants flower cap pedestrian transportation sidewalk tree road city street coat rekognition_c sign grass vehicle blouse high potted plant old_eecue vegetation rise neighborhood baseball arrangement furniture bag shirt path wear sunglasses office dress protest building name footwear decorative outdoors jar hat condo jacket planter shoe pottery no poster metropolis nature banner vase accessories blazer housing plate garden palm advertisement
date
2003-02-17T17:59:37-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(24.26%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
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.