Photos | Mark Mangino Marches with Huge Crowd

The 2006 March in March, with Mark Mangino leading the way, draws a massive crowd of protestors down the city streets, carrying signs and setting a bold example for all.
BLIP-2 Description:
a large crowd of people walking down a streetMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
machine protest wheel city urban bri rty march años vehicle fr day governor answerla immigrants latinos bicycle transportation accessories ie sign optometrist don't great sun sport singels z glasses footwear full crowd banner parade rights say vi no minute mo lasting text ball metropolis agend students vote middle sto easte arnold young hat volleyball flag mark mangino dig answe blame amnistia (ball) shoe
Detected Text
iso
400
metering mode
5
aperture
f/14
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2006-03-25T10:52:00-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.08%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.10%)
harmonious color
(-2.47%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-43.21%)
intrusive object presence
(-15.65%)
lively color
(1.43%)
low light
(2.86%)
noise
(-1.27%)
pleasant camera tilt
(-10.50%)
pleasant composition
(-90.48%)
pleasant lighting
(-28.27%)
pleasant pattern
(5.86%)
pleasant perspective
(-0.90%)
pleasant post processing
(1.12%)
pleasant reflection
(-1.28%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.17%)
tastefully blurred
(-10.61%)
well chosen subject
(6.99%)
well framed subject
(-65.04%)
well timed shot
(22.83%)
all
(-3.87%)
* 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.