Photos | Mayday Rally in Metropolis
A sea of people gather on the streets of Metropolis on May 1, 2008 for the annual Mayday Rally, advocating for workers' rights and social justice.
BLIP-2 Description:
a large crowd of people in a city streetChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture hydrant urban plant building footwear pedestrian transportation sidewalk area road outdoor chir mayday_rally intersection tarmac city bag shoe land street hideko maehata fire machine truck parade bicycle metropolis path shrub bus sign rally vehicle accessories legaliza skyscraper downtown handbag walking mayday automobile crowd
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
35mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-05-01T14:59:59-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.39%)
harmonious color
(2.13%)
immersiveness
(2.32%)
interaction
(1.00%)
interesting subject
(-11.04%)
intrusive object presence
(-7.35%)
lively color
(0.14%)
low light
(18.68%)
noise
(-5.42%)
pleasant camera tilt
(-10.98%)
pleasant composition
(-71.44%)
pleasant lighting
(-25.02%)
pleasant pattern
(11.33%)
pleasant perspective
(11.77%)
pleasant post processing
(-1.89%)
pleasant reflection
(-1.60%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.20%)
tastefully blurred
(-0.88%)
well chosen subject
(8.50%)
well framed subject
(-53.37%)
well timed shot
(4.17%)
all
(-1.68%)
* 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.