Photos | Student Protesters Take to the Streets
Raini Rodriguez, Imelda Papin, Natalia Anciso, Ivana Maria Furtado, Wendy Sulca, Arihito Muramatsu, Sulakshana Naik and dozens more march for their cause, waving signs and flags high.
BLIP-2 Description:
a large group of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
urban flag street recreation maria al imm glasses outdoor de org sulakshana naik rich wevote footwear bag answ wendy sulca march amnistía path sky sacar stop apply crowd today corriendo city full protest imelda sidewalk building papin sign furtado shoe handbag arihito migrants raini rodriguez natalia anciso amnistías parade muramatsu metropolis student road performance architecture dent rights text light traffic banner gobierno tomorrow bush ivana la accessories mmigrants art land
Detected Text
iso
100
metering mode
5
aperture
f/4
exposure bias
-0.67
focal length
17mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
overall
(28.34%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.24%)
harmonious color
(-1.35%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-66.26%)
intrusive object presence
(-20.70%)
lively color
(3.60%)
low light
(50.73%)
noise
(-0.63%)
pleasant camera tilt
(-10.20%)
pleasant composition
(-91.41%)
pleasant lighting
(-31.18%)
pleasant pattern
(4.88%)
pleasant perspective
(3.81%)
pleasant post processing
(2.61%)
pleasant reflection
(3.20%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.10%)
tastefully blurred
(-2.87%)
well chosen subject
(6.00%)
well framed subject
(-76.07%)
well timed shot
(3.06%)
all
(-5.19%)
* 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.