Photos | Great American Boycott March

A crowd of people, including Nemecia Achacollo and Sneha Deepthi, walk down a city street holding American flags in protest during the Great American Boycott of 2007. Among the marchers are parents pushing strollers and carrying babies, all united in their message for change.
BLIP-2 Description:
a group of people holding american flags and walking down a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
diaman nemecia achacollo process flag legalizacion due great_american_boycott urban deepthi footwear baby para american hat sidewalk todos wholesal shoe city sneha alto art machine sheim glasses migration payless metropolis path retail sign vehicle jewelry boycott plam accessories reform stroller amonds crowd great
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-05-01T11:10:54-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.31%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.12%)
harmonious color
(-1.75%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-10.42%)
intrusive object presence
(-5.37%)
lively color
(4.39%)
low light
(5.91%)
noise
(-2.39%)
pleasant camera tilt
(-8.06%)
pleasant composition
(-72.02%)
pleasant lighting
(-15.33%)
pleasant pattern
(8.98%)
pleasant perspective
(3.26%)
pleasant post processing
(1.99%)
pleasant reflection
(-1.06%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.46%)
tastefully blurred
(-4.46%)
well chosen subject
(-3.96%)
well framed subject
(-52.34%)
well timed shot
(9.59%)
all
(-1.22%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.