Photos | A Patriotic March
Maryline Salvetat leads a crowd of 24 people, proudly waving American flags and donning their red, white, and blue clothing during a parade on March 25, 2007.
BLIP-2 Description:
a group of people walking down a street with american flagsChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
super jeans pants flag mobile footwear unit luggage wristwatch maryline salvetat road outdoor hire police officer fdrce text container shoe bag black minutemen land street art machine stai now parade cingular shorts angeles banner sign retail los vehicle verizon llegale accessories video recreation handbag stroller star black_minutemen protest hermani crowd ale
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2007-03-25T12:29:06-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.74%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.54%)
harmonious color
(-0.42%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-27.42%)
intrusive object presence
(-16.75%)
lively color
(5.82%)
low light
(39.45%)
noise
(-2.78%)
pleasant camera tilt
(-5.92%)
pleasant composition
(-81.45%)
pleasant lighting
(-27.32%)
pleasant pattern
(5.96%)
pleasant perspective
(-4.61%)
pleasant post processing
(3.62%)
pleasant reflection
(-0.38%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.61%)
tastefully blurred
(-2.16%)
well chosen subject
(-34.33%)
well framed subject
(-45.29%)
well timed shot
(6.27%)
all
(-5.00%)
* 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.