Photos | Walking for America
![Walking for America](https://eecue.com/img/640/267537eebf.jpg)
A crowd of 53 people, including 5 adults, 4 men, and a woman wearing clothing and accessories, walk down a city street carrying American flags during the Great American Boycott in 2007.
BLIP-2 Description:
a group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
advertisement adidas urban flag street recreation glasses outdoor footwear boycott bag path akinori iwamura crowd babys necklace pedestrian immigration city jewelry protest comprehensive sidewalk american lease sign shoe handbag migrants rew reform now space parade metropolis wristwatch road retail performance land great_american_boycott great hat light traffic fo accessories walking art call
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(29.30%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.27%)
harmonious color
(-1.44%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-40.97%)
intrusive object presence
(-15.58%)
lively color
(-4.74%)
low light
(7.79%)
noise
(-3.39%)
pleasant camera tilt
(-9.15%)
pleasant composition
(-86.96%)
pleasant lighting
(-28.22%)
pleasant pattern
(5.57%)
pleasant perspective
(2.08%)
pleasant post processing
(-1.35%)
pleasant reflection
(0.49%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.24%)
tastefully blurred
(-7.78%)
well chosen subject
(-10.28%)
well framed subject
(-58.69%)
well timed shot
(10.74%)
all
(-5.49%)
* 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.