Photos | Students Rally for Change
A diverse group of 33 people, including Wang Haitao, Masira Surin, and Jaya Sharma, gathered in 2006 to protest for their rights, waving flags and holding up signs advocating for change in their community.
BLIP-2 Description:
a large group of people holding signs and flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
org est r boy flag hydrant ient jaya sharma child footwear student rights amni sidewalk luggage hat mexican road outdoor text performance container shoe bag land street art glove fire varcha parade amnistia glasses full migrants path istia masira banner sign gran accessories recreation handbag protest zone immi wang haitao crowd werla surin
Detected Text
iso
100
metering mode
5
aperture
f/4
exposure bias
-0.67
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2006-04-15T10:35:29-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.24%)
harmonious color
(-1.71%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-47.88%)
intrusive object presence
(-18.46%)
lively color
(3.59%)
low light
(26.27%)
noise
(-1.59%)
pleasant camera tilt
(-12.42%)
pleasant composition
(-93.16%)
pleasant lighting
(-26.46%)
pleasant pattern
(5.81%)
pleasant perspective
(-3.20%)
pleasant post processing
(2.29%)
pleasant reflection
(2.47%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.20%)
tastefully blurred
(-7.12%)
well chosen subject
(-0.61%)
well framed subject
(-74.32%)
well timed shot
(8.16%)
all
(-5.13%)
* 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.