Photos | American Pride March
A crowd of 44 people, including Elaine Miles, Ingrid Betancourt, and Jamil Douglas, proudly carry American flags while pushing strollers during the Great American Boycott in 2007.
BLIP-2 Description:
a large group of people with american flags and strollersChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
necklace flag deportaci legalizacion great_american_boycott mensive chair footwear ingrid para adas transportation hat american todos basketball furniture legalizac bag shoe alto art deportacion machine no (ball) ball elaine miles intimigration rer inow vehicle jewelry sport ra boycott accessories diamante las betancourt handbag diamonds reform silv stroller jamil douglas 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
2007-05-01T11:11:06-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.92%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.12%)
harmonious color
(-3.52%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(27.10%)
intrusive object presence
(-18.73%)
lively color
(6.10%)
low light
(4.13%)
noise
(-0.37%)
pleasant camera tilt
(-8.06%)
pleasant composition
(-63.96%)
pleasant lighting
(-13.26%)
pleasant pattern
(17.21%)
pleasant perspective
(13.75%)
pleasant post processing
(-0.42%)
pleasant reflection
(1.53%)
pleasant symmetry
(1.22%)
sharply focused subject
(0.39%)
tastefully blurred
(-1.22%)
well chosen subject
(-7.09%)
well framed subject
(-20.15%)
well timed shot
(28.25%)
all
(1.97%)
* 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.