Photos | The Great American Boycott Protest March

A massive crowd of people, led by Yōko Kamikawa, Yukifumi Murakami, Hulk Hogan, Jaya Sharma, and Shivam Dubey, wave American flags as they march down a street during the 2007 Great American Boycott protest against proposed immigration laws.
BLIP-2 Description:
a large group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
yukifumi headgear xing flag hoa urban great_american_boycott hulk hogan footwear american hat road outdoor ped sharma text performance yōko kamikawa shoe bag city traffic land street art shivam dubey parade murakami jaya stet belt angeles metropolis banner los light boycott accessories recreation handbag protest crowd great
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
48mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-05-01T11:02:53-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.59%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.61%)
harmonious color
(-4.98%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-58.35%)
intrusive object presence
(-16.09%)
lively color
(-5.51%)
low light
(6.49%)
noise
(-2.32%)
pleasant camera tilt
(-13.10%)
pleasant composition
(-94.43%)
pleasant lighting
(-35.13%)
pleasant pattern
(2.32%)
pleasant perspective
(-8.67%)
pleasant post processing
(-0.50%)
pleasant reflection
(-0.56%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.20%)
tastefully blurred
(-42.60%)
well chosen subject
(9.56%)
well framed subject
(-72.56%)
well timed shot
(3.86%)
all
(-8.58%)
* 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.