Photos | American Flag Parade
A group of 55 passionate individuals, including Jayshree Khadilkar, Sulakshana Naik, Sulakshana Naik, Jasjeet Kaur Handa, and Rimpa Siva, hold American flags and signs as they walk through the streets of a bustling city during the 2006 student protest.
BLIP-2 Description:
a large group of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
accessories vehicle land leisure shoe rights sulakshana naik road sign handbag sulakshana student transportation odrine handa adventure answerla crowd jayshree khadilkar sport performance immigrants hat arts protest flag org jasjeet hydrant wheel rimpa siva activities metro recreation naik footwear amnistía parade suppor art machine full box bag outdoor text car kaur banner race car fire glasses
Detected Text
iso
100
metering mode
5
aperture
f/4
exposure bias
-0.67
focal length
17mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(22.83%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.39%)
harmonious color
(-4.95%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-60.84%)
intrusive object presence
(-25.88%)
lively color
(5.44%)
low light
(34.94%)
noise
(-2.29%)
pleasant camera tilt
(-11.85%)
pleasant composition
(-94.48%)
pleasant lighting
(-33.23%)
pleasant pattern
(7.10%)
pleasant perspective
(-6.42%)
pleasant post processing
(1.75%)
pleasant reflection
(0.66%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.22%)
tastefully blurred
(-11.80%)
well chosen subject
(8.16%)
well framed subject
(-79.00%)
well timed shot
(8.92%)
all
(-6.58%)
* 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 with AI (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.