Photos | Native Costume Parade During May Day Rally
A group of 32 people, including 2 women and 3 adults, wearing brightly colored native costumes walk down the street during the 2008 May Day Rally in the urban metropolis. The blue sky and tall building serve as a backdrop to the crowded road, while billboards and advertisement banners hang on every window and awning.
BLIP-2 Description:
a group of people in native costumes walking down the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
neighborhood urban sha plant building window tuxedo belleza barber wercedes footwear agua pedestrian area sidewalk al hat escuela road outdoor tuxedos mayday_rally intersection costura text sky co tarmac shoe city bag land street completo bridal shorts school una beauty lease path metropolis billboards sign banner servicio rally salon ri accessories unisex handbag walking canopy town mayday scuela awning advertisement de shop crowd
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
2008-05-01T16:01:15-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.28%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.39%)
harmonious color
(3.11%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-33.57%)
intrusive object presence
(-8.13%)
lively color
(-0.80%)
low light
(61.87%)
noise
(-1.56%)
pleasant camera tilt
(-6.37%)
pleasant composition
(-73.44%)
pleasant lighting
(-26.42%)
pleasant pattern
(7.45%)
pleasant perspective
(8.19%)
pleasant post processing
(3.98%)
pleasant reflection
(1.38%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.42%)
tastefully blurred
(-15.55%)
well chosen subject
(-25.07%)
well framed subject
(-46.88%)
well timed shot
(7.06%)
all
(-2.74%)
* 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,
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