Photos | Protesting for Change
Halle Tecco joins a crowd of 43 people in a student protest, holding American flags and signs while marching through the metropolis. The group's banner demands social justice and reform, in front of a grand office building and skyscraper.
BLIP-2 Description:
a large group of people holding american flags and signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
architecture activities flag urban leisure building footwear student transportation hat road outdoor text performance halle tecco bag city shoe traffic art glove parade amnistia glasses full metropolis banner sign backpack car vehicle light accessories skyscraper adventure office riahts recreation handbag stop lamppost protest crowd march symbol
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-04-15T10:39:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.16%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.22%)
harmonious color
(-3.20%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-50.88%)
intrusive object presence
(-13.13%)
lively color
(4.51%)
low light
(5.05%)
noise
(-1.66%)
pleasant camera tilt
(-6.07%)
pleasant composition
(-83.89%)
pleasant lighting
(-19.49%)
pleasant pattern
(7.35%)
pleasant perspective
(10.30%)
pleasant post processing
(-0.56%)
pleasant reflection
(-1.96%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.29%)
tastefully blurred
(-0.38%)
well chosen subject
(6.23%)
well framed subject
(-63.09%)
well timed shot
(10.82%)
all
(-2.38%)
* 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.