Photos | Student Protest Signs
Mabel and a group of protesters holding up signs during the 2006 student protest. The crowd of protesters included children, adults, and people of all genders holding banners with text advocating for change.
BLIP-2 Description:
a group of people holding signs and holding up signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
dos accessories vehicle leisure worldcantwait tes alac april www de sign headgear gobierno wristwatch el student transportation pen canon don selneg en unamerican necklace adventure crowd hat performance liberation protest org spring mabel contre al sacar ring activities trants girl recreation child boy mendo puede bush no worldcani eos parade mundo del text car jewelry bracelet esperar corriendo seming sunglasses banner ens ad
Detected Text
iso
100
metering mode
5
aperture
f/1.2
exposure bias
-0.67
focal length
85mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
overall
(33.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.34%)
harmonious color
(0.71%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-62.70%)
intrusive object presence
(-11.04%)
lively color
(11.74%)
low light
(20.41%)
noise
(-1.83%)
pleasant camera tilt
(-5.59%)
pleasant composition
(-89.36%)
pleasant lighting
(-13.87%)
pleasant pattern
(2.12%)
pleasant perspective
(-7.76%)
pleasant post processing
(2.22%)
pleasant reflection
(-1.72%)
pleasant symmetry
(0.12%)
sharply focused subject
(1.37%)
tastefully blurred
(3.96%)
well chosen subject
(-16.88%)
well framed subject
(-62.50%)
well timed shot
(-5.30%)
all
(-5.32%)
* 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.