Photos | The Great American Parade
Hugo Maradona and Renedy Singh lead a crowd of 57 people carrying American flags down the bustling streets of a metropolis.
BLIP-2 Description:
a large group of people walking down a street with american flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
architecture jeans singh flag urban building window wrangler footwear tipp pedestrian garantizade optometrists hat al road outdoor oro text traffic city shoe bag land dwy street art plana blue manhole parade renedy glasses ilevatela cold angeles mei gratis sinaloi buy metropolis banner sign southpole 影 backpack hugo maradona mayore light loro accessories handbag 除 ewelry levi's protest free advertisement de crowd dat borde
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-05-01T11:24:10-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.72%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.20%)
harmonious color
(-1.32%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-49.46%)
intrusive object presence
(-6.42%)
lively color
(-7.28%)
low light
(7.71%)
noise
(-1.51%)
pleasant camera tilt
(-12.76%)
pleasant composition
(-85.06%)
pleasant lighting
(-36.04%)
pleasant pattern
(11.77%)
pleasant perspective
(-4.62%)
pleasant post processing
(2.39%)
pleasant reflection
(-0.80%)
pleasant symmetry
(0.95%)
sharply focused subject
(0.12%)
tastefully blurred
(-6.29%)
well chosen subject
(13.17%)
well framed subject
(-67.33%)
well timed shot
(2.36%)
all
(-5.63%)
* 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.