Photos | Mayday Parade

Down AKA Kilo dressed in costume walks down the street surrounded by a crowd during the Mayday rally in 2008. The blue sky and building billboards create a metropolitan backdrop as pedestrians on the sidewalk and road make their way through the intersection.
BLIP-2 Description:
a man in a costume is walking down the streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
neighborhood urban sha building footwear belleza wercedes pedestrian sidewalk hat crowd vocation eth's road outdoor studio tuxedos mayday_rally intersection alon sky tarmac shoe bag city land apleto street glasses shorts down aka kilo school lease path metropolis billboards sign rally ber accessories unisex handbag walking mayday de shop choto
Detected Text
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2008-05-01T16:01:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.61%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.29%)
harmonious color
(-1.77%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-38.77%)
intrusive object presence
(-35.69%)
lively color
(11.55%)
low light
(11.13%)
noise
(-1.59%)
pleasant camera tilt
(-9.17%)
pleasant composition
(-86.91%)
pleasant lighting
(-21.62%)
pleasant pattern
(6.67%)
pleasant perspective
(-5.17%)
pleasant post processing
(-1.68%)
pleasant reflection
(3.18%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.22%)
tastefully blurred
(-5.48%)
well chosen subject
(-23.35%)
well framed subject
(-65.33%)
well timed shot
(9.87%)
all
(-5.25%)
* 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.