Photos | Mayday Rally Parade in the City
A group of 41 enthusiastic people, including Liu Zige and Kim Tai-chung, marched down the street, playing musical instruments and carrying handbags and hats during the Mayday Rally Parade in the city on May 1, 2008.
BLIP-2 Description:
a group of people walking down the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture group activities leisure building tai music footwear transportation hat crowd musician road outdoor mayday_rally performance shoe bag city land street machine parade sai bicycle kim chung wheel rally vehicle performer marching accessories musical instrument recreation band percussion mayday liu zige handbag drum
Detected Text
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
35mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2008-05-01T15:10:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.45%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.61%)
harmonious color
(-1.13%)
immersiveness
(1.20%)
interaction
(1.00%)
interesting subject
(-37.99%)
intrusive object presence
(-6.86%)
lively color
(-1.33%)
low light
(11.72%)
noise
(-3.39%)
pleasant camera tilt
(-6.41%)
pleasant composition
(-73.68%)
pleasant lighting
(-20.90%)
pleasant pattern
(9.45%)
pleasant perspective
(-4.48%)
pleasant post processing
(-2.18%)
pleasant reflection
(-6.93%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.27%)
tastefully blurred
(-10.93%)
well chosen subject
(-15.49%)
well framed subject
(-61.52%)
well timed shot
(22.09%)
all
(-3.51%)
* 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.