Photos | May Day Rally for Land and People's Rights
Fabian Núñez, Jayadev Galla, Vani Kapoor, and Immortal Technique join a crowd of 56 people holding banners and signs in a protest for the rights of urban land and its people in downtown Metropolis.
BLIP-2 Description:
a large group of people holding signs and flags in the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
galla urban building vani kapoor footwear transportation hat gitizenship road outdoor mayday_rally text mane performance city shoe bag land street fabian núñez parade no audience metropolis banner sign rally car vehicle technique accessories jayadev recreation handbag mayday immortal protest advertisement deportation crowd
Detected Text
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
18mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-05-01T15:11:15-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.42%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.42%)
harmonious color
(-1.43%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-31.35%)
intrusive object presence
(-8.35%)
lively color
(8.96%)
low light
(6.42%)
noise
(-6.86%)
pleasant camera tilt
(-10.96%)
pleasant composition
(-81.10%)
pleasant lighting
(-14.10%)
pleasant pattern
(13.82%)
pleasant perspective
(1.20%)
pleasant post processing
(-0.24%)
pleasant reflection
(1.23%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.29%)
tastefully blurred
(-8.68%)
well chosen subject
(5.44%)
well framed subject
(-61.38%)
well timed shot
(10.17%)
all
(-1.92%)
* 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.