Photos | School Walkout's Metropolis Crowd

Antonio Valencia, Jasjeet Kaur Handa, Devita Saraf, Vani Kapoor, Masira Surin, and K. Jennitha Anto join 47 other people in front of a towering city office building during a 2006 school walkout amidst the palm trees and foliage.
BLIP-2 Description:
a large crowd of people standing in front of a buildingMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
surin housing city urban devita dias saraf jasjeet kaur handa k. jennitha anto plant tree cinema accessories window vani kapoor outdoor disc jockeyalma antonio glasses building architecture crowd foliage masira concert audience palm walkout office valencia condo metropolis school rekognition_c feitosa hat
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2006-03-27T12:00:50-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.29%)
harmonious color
(-1.28%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-18.38%)
intrusive object presence
(-76.81%)
lively color
(-7.94%)
low light
(0.98%)
noise
(-0.51%)
pleasant camera tilt
(-12.31%)
pleasant composition
(-83.54%)
pleasant lighting
(-35.03%)
pleasant pattern
(11.96%)
pleasant perspective
(8.27%)
pleasant post processing
(3.53%)
pleasant reflection
(-2.01%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.91%)
well chosen subject
(13.49%)
well framed subject
(-20.61%)
well timed shot
(6.84%)
all
(-4.18%)
* 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.