Photos | May Day Rally for Workers' Rights
A large group of people, including Asha Rawat and Lalu Prasad Yadav, hold flags and signs advocating for workers' rights under a bright blue sky. The diverse crowd stretches far and wide, with 4 flags waving high on poles as traffic lights and construction cranes loom in the background.
BLIP-2 Description:
a large group of people holding flags and signsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
flag derechos rekognition_c recreation crane glasses rally outdoor de bag sky lalu prasad yadav son os crowd ream immigrant aro protest mayday_rally erech mmigran american sign rican handbag construction alition migran asha rechos inmigrantes parade mayday int road performance symbol blue worke pole trabajador rights trabaiador light flagpole hat traffic rawat worker accessories art migrantes
Detected Text
iso
100
metering mode
5
aperture
f/7.1
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(58.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.02%)
harmonious color
(12.40%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(10.46%)
intrusive object presence
(-10.79%)
lively color
(20.72%)
low light
(0.81%)
noise
(-0.29%)
pleasant camera tilt
(-5.12%)
pleasant composition
(-55.96%)
pleasant lighting
(21.44%)
pleasant pattern
(10.16%)
pleasant perspective
(38.79%)
pleasant post processing
(5.20%)
pleasant reflection
(4.10%)
pleasant symmetry
(1.73%)
sharply focused subject
(1.17%)
tastefully blurred
(-3.18%)
well chosen subject
(4.00%)
well framed subject
(-18.40%)
well timed shot
(-0.42%)
all
(9.11%)
* 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.