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
migran sky os ream accessories american rawat migrantes rights mayday_rally road sign de handbag rican asha trabajador crane erech worke son rally crowd construction performance hat flagpole protest flag immigrant int mayday traffic rechos recreation aro parade blue art rekognition_c mmigran outdoor pole alition bag light glasses trabaiador derechos inmigrantes lalu prasad yadav symbol worker
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 with AI (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.