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:
architecture urban plant building window vani kapoor hat jasjeet kaur handa tree condo outdoor city disc foliage k. jennitha anto feitosa glasses audience school metropolis antonio rekognition_c jockeyalma saraf accessories office dias housing valencia devita palm walkout concert crowd cinema masira surin
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.