Photos | Mayday Rally in Metropolis

Yoshiyuki Ishihara and Suresh Angadi lead a crowd of 69 people down the city street during the 2008 Mayday Rally. The group carries a banner and various accessories including helmets and handbags. Three traffic lights and a truck can be seen in the background while two bicycles wheel along with the parade.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
urban plant fence footwear pedestrian transportation hat yoshiyuki ishihara road outdoor chir mayday_rally text performance tarmac city bag shoe traffic land street machine truck angadi parade audience bicycle metropolis bus helmet wheel banner sign rally vehicle light accessories recreation coalition handbag mayday suresh crowd
iso
400
metering mode
5
aperture
f/2.8
focal length
90mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
date
2008-05-01T14:46:20.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.41%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.37%)
harmonious color
(2.75%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(9.22%)
intrusive object presence
(-5.81%)
lively color
(6.39%)
low light
(2.64%)
noise
(-7.64%)
pleasant camera tilt
(-11.27%)
pleasant composition
(-71.09%)
pleasant lighting
(-9.81%)
pleasant pattern
(18.75%)
pleasant perspective
(10.11%)
pleasant post processing
(3.41%)
pleasant reflection
(-6.56%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.42%)
tastefully blurred
(-1.56%)
well chosen subject
(-0.42%)
well framed subject
(-52.44%)
well timed shot
(14.90%)
all
(0.64%)
* 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.