Photos | Marching for Change
A group of 30 people gather on the city streets, carrying signs and banners, walking towards a brighter tomorrow. The crowd is diverse, with men and women of all ages, wearing different clothing and carrying stylish accessories. The parade is peaceful, as the group walks through the urban road, passing by palm trees and buildings.
BLIP-2 Description:
a group of people walking down the street with signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture jeans pants neighborhood urban plant building footwear peace pedestrian transportation hat tree condo road outdoor carriage text budget performance city shoe bag license land street truck parade no war banner sign wagon car vehicle accessories recreation handbag walking housing plate palm advertisement crowd old_eecue rental
date
2003-02-17T18:00:06-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.10%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.32%)
harmonious color
(1.22%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-52.29%)
intrusive object presence
(-6.59%)
lively color
(-0.52%)
low light
(5.62%)
noise
(-5.98%)
pleasant camera tilt
(-12.62%)
pleasant composition
(-74.17%)
pleasant lighting
(-26.59%)
pleasant pattern
(15.48%)
pleasant perspective
(-7.24%)
pleasant post processing
(6.05%)
pleasant reflection
(-2.93%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.27%)
well chosen subject
(-14.36%)
well framed subject
(-67.14%)
well timed shot
(-6.70%)
all
(-5.87%)
* 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.