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 signsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
corriendo mendo protest del dos activities student recreation vehicle car contre child de adventure transportation girl wristwatch accessories selneg sign ring jewelry performance puede sunglasses bush al don en crowd trants banner seming worldcantwait parade april unamerican www worldcani mundo text no boy canon org el gobierno ad esperar pen liberation alac ens eos tes mabel bracelet headgear leisure hat sacar spring necklace
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
date
2006-04-15T10:20:54-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
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 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.