Photos | Great American Boycott March

A massive crowd marches through the city holding American flags in protest during the Great American Boycott of 2007.
BLIP-2 Description:
a large group of people holding american flags in a cityMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
unite xing boy flag shower urban plant great_american_boycott tokens child ha footwear pie baby chillinit eos american sultana om birla jes road outdoor ped zapatos acce gold text space performance traffic años shoe families city land kruschen street art gouher sultana empe parade fi audience lease metropolis retail sign dases banner antels jewelry gouher light boycott zapa recreation es sacce spring canon erior teria jack protest casa call de crowd great
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
48mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
date
2007-05-01T11:02:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.49%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-1.07%)
harmonious color
(-4.03%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-47.44%)
intrusive object presence
(-7.62%)
lively color
(-14.07%)
low light
(80.18%)
noise
(-6.15%)
pleasant camera tilt
(-11.21%)
pleasant composition
(-87.01%)
pleasant lighting
(-43.70%)
pleasant pattern
(4.83%)
pleasant perspective
(-2.91%)
pleasant post processing
(1.50%)
pleasant reflection
(-1.80%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.22%)
tastefully blurred
(-26.81%)
well chosen subject
(0.68%)
well framed subject
(-63.33%)
well timed shot
(10.82%)
all
(-7.81%)
* 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.