Photos | 2008 Mayday Rally: A Sea of People Marching Down the Street
Yoon Yong-il, K. C. Palanisamy, and Kim Kirchen were just a few of the 48 people who joined the massive crowd at the Mayday Rally, which coincided with a bustling city intersection filled with cars, bicycles, and pedestrians.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban wheel street recreation glasses kim kirchen transportation rally outdoor palanisamy footwear bag yoon yong-il sky salvado pedestrian cycling domingros city car mayday_rally arch bicycle intersection shoe handbag tarmac neighborhood mayday parade humane metropolis road wristwatch vehicle performance belt k machine hat rights sport light traffic la accessories crowd land
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(28.86%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.49%)
harmonious color
(-2.61%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-49.54%)
intrusive object presence
(-13.92%)
lively color
(-6.35%)
low light
(7.25%)
noise
(-3.34%)
pleasant camera tilt
(-12.27%)
pleasant composition
(-87.50%)
pleasant lighting
(-31.88%)
pleasant pattern
(7.93%)
pleasant perspective
(-7.47%)
pleasant post processing
(-2.04%)
pleasant reflection
(0.47%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.24%)
tastefully blurred
(-4.06%)
well chosen subject
(0.07%)
well framed subject
(-71.53%)
well timed shot
(5.04%)
all
(-6.82%)
* 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.