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:
wheel box flag recreation glasses transportation outdoor org sulakshana naik footwear sulakshana bag leisure amnistía handa activities crowd arts full car protest race car sign kaur fire shoe handbag odrine answerla rimpa siva jayshree khadilkar adventure parade jasjeet student road suppor metro performance hydrant vehicle machine hat rights text sport banner naik accessories immigrants art land
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 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.