Photos | Marching for a Cause

Todd Terry and Michael Nutter join a crowd of 22 passionate people holding signs and flags, marching down the street to advocate for change on a sunny day in 2007. #protest #parade #community #change
BLIP-2 Description:
a group of people holding signs and flags on a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
tel protest rei recreation jeans vimmigray wake wristwatch nutter accessories wholesale sign black officer candidate outdoor performance street racist road legal pants jewelry sunglasses glasses minutemen footwear crowd made necklace banner parade americans rights text no movement rami stroy marching guest black_minutemen land migration michael hat art flag jewel sop todd terry worker civil program shoe
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
63mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2007-03-25T12:28:11-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.89%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.49%)
harmonious color
(-0.63%)
immersiveness
(0.68%)
interaction
(1.00%)
interesting subject
(17.87%)
intrusive object presence
(-8.47%)
lively color
(10.60%)
low light
(27.20%)
noise
(-2.47%)
pleasant camera tilt
(-6.22%)
pleasant composition
(-65.87%)
pleasant lighting
(-27.20%)
pleasant pattern
(13.70%)
pleasant perspective
(-1.01%)
pleasant post processing
(1.54%)
pleasant reflection
(0.42%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.51%)
tastefully blurred
(9.61%)
well chosen subject
(-32.86%)
well framed subject
(-50.68%)
well timed shot
(15.43%)
all
(-2.12%)
* 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.