Photos | Great American Boycott Parade
A crowd of 47 people, including Natalia Anciso, Ashanthi, and Rivaldo, march down the urban streets with American flags during the Great American Boycott in May 2007.
BLIP-2 Description:
a large group of people walking down the street with american flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban oxxou flag street recreation fi baby child rapid borders outdoor shoa de transportation footwear citizenship shower path earned prehensive no xing crowd babys acces city ashanthi protest rivaldo pie ration anos lease sign rer american shoe te reform boy bes families natalia anciso stetson antels strugg inow space parade metropolis road ped retail performance alto land zapatos great_american_boycott workers text vehicle light great terior traffic banner boycott art call
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
overall
(25.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.68%)
harmonious color
(-2.30%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-58.25%)
intrusive object presence
(-8.86%)
lively color
(-10.31%)
low light
(73.73%)
noise
(-4.54%)
pleasant camera tilt
(-11.05%)
pleasant composition
(-90.19%)
pleasant lighting
(-46.80%)
pleasant pattern
(5.20%)
pleasant perspective
(-6.37%)
pleasant post processing
(0.04%)
pleasant reflection
(-0.98%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.15%)
tastefully blurred
(-8.31%)
well chosen subject
(1.51%)
well framed subject
(-71.04%)
well timed shot
(3.51%)
all
(-8.87%)
* 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.