Photos | Massive Student Protest with Flags
Raffi Ahmad, Che Guevara, and Masira Surin lead a crowd of 54 people down the street, carrying flags and signs during a 2006 protest. The crowd wears jeans and various accessories such as hats and handbags while carrying luggage and containers.
BLIP-2 Description:
a large group of people walking down the street with flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
accessories migrants land shoe anthony rights road masira surin sign wristwatch handbag che jeans spitero student center 上 historic alle crowd answerla guevara performance immigrants hat downtown protest flag org loving stia container metro recreation ights child boy pants ail raffi ahmad memory street footwear amnistía parade luggage art civic full bag outdoor ants 好 text banner symbol 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
(31.62%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.24%)
harmonious color
(-3.73%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-20.85%)
intrusive object presence
(-19.80%)
lively color
(3.01%)
low light
(26.39%)
noise
(-1.00%)
pleasant camera tilt
(-10.57%)
pleasant composition
(-89.06%)
pleasant lighting
(-34.69%)
pleasant pattern
(4.27%)
pleasant perspective
(-2.15%)
pleasant post processing
(2.80%)
pleasant reflection
(2.35%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.20%)
tastefully blurred
(-16.98%)
well chosen subject
(-2.71%)
well framed subject
(-64.01%)
well timed shot
(14.78%)
all
(-5.06%)
* 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.