Photos | Mayday Rally Marches Through Metropolis

A diverse crowd of 36 people, including 2 women, 2 men, and 2 helmets, walk down a city street adorned with billboards and storefronts during the 2008 Mayday Rally. Blue skies and towering buildings frame the scene as accessories and footwear add personal touches to the urban landscape.
BLIP-2 Description:
a group of people walking down the street in a cityMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
tarmac path beauty city urban container servicio intersection sky mercedes de shoe crossing storefront goleth's tur helmet bag billboards sidewalk sign window accessories outdoor street completo se road vocation overlock building footwear crowd luggage co banner zebra shop tuxedos hie barber text shorts costura metropolis unisex sha studio por pedestrian handbag mayday_rally walking una school scuela rekognition_c mayday rally lease land town wercedes advertisement belleza hat salon flag area escuela neighborhood oto aguia
Detected Text
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2008-05-01T16:01:17-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.49%)
harmonious color
(2.73%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-56.88%)
intrusive object presence
(-16.60%)
lively color
(-5.77%)
low light
(70.65%)
noise
(-2.54%)
pleasant camera tilt
(-7.98%)
pleasant composition
(-87.35%)
pleasant lighting
(-44.80%)
pleasant pattern
(4.69%)
pleasant perspective
(-0.50%)
pleasant post processing
(4.85%)
pleasant reflection
(2.45%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.34%)
tastefully blurred
(-9.73%)
well chosen subject
(-23.50%)
well framed subject
(-53.32%)
well timed shot
(4.17%)
all
(-7.17%)
* 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.