Photos | Mayday Rally Draws Crowds

Tom Joyner leads a procession of 50+ people on bicycles, foot, and holding signs at the 2008 Mayday Rally in the city. The crowd marches down the street under a clear blue sky, passing lampposts and traffic lights with a sea of hats and accessories in tow.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
machine protest wheel city urban tom joyner 爸 recreation vehicle intersection sky bicycle lamppost transportation wristwatch bag accessories sign helmet traffic outdoor performance street sport road cycling footwear crowd banner humane parade mon light rights text metropolis rant pedestrian handbag mayday_rally mayday rally land hat art flag neighborhood shoe
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
26mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-05-01T14:34:37-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.61%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.24%)
harmonious color
(-2.29%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-62.16%)
intrusive object presence
(-28.71%)
lively color
(-9.31%)
low light
(3.17%)
noise
(-2.17%)
pleasant camera tilt
(-10.37%)
pleasant composition
(-91.80%)
pleasant lighting
(-32.86%)
pleasant pattern
(4.27%)
pleasant perspective
(0.38%)
pleasant post processing
(-0.41%)
pleasant reflection
(0.12%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.12%)
tastefully blurred
(-0.12%)
well chosen subject
(16.74%)
well framed subject
(-72.12%)
well timed shot
(2.91%)
all
(-6.43%)
* 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.