Photos | Mayday Rally Participants March with a Bold Banner

Tananarive Due and 28 other people walk down the city street with a prominent banner in hand during the 2008 Mayday rally. The bright blue sky and bustling crowd lend energy to this demonstration for social justice.
BLIP-2 Description:
a group of people walking down a street holding a flagMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
traffic jeans pants flag urban ra's mientos footwear eueede pedestrian hat al sidewalk road outdoor mayday_rally intersection text performance sky shoe tarmac bag dol land city street bird ediatos cingulag school metropolis path tananarive due banner sign rally vocational ri light accessories recreation handbag walking ch mayday animal advertisement crowd
Detected Text
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2008-05-01T16:00:59-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.16%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.22%)
harmonious color
(-1.18%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(-21.17%)
intrusive object presence
(-4.64%)
lively color
(3.80%)
low light
(12.33%)
noise
(-1.44%)
pleasant camera tilt
(-5.73%)
pleasant composition
(-59.03%)
pleasant lighting
(-30.00%)
pleasant pattern
(5.69%)
pleasant perspective
(3.37%)
pleasant post processing
(2.15%)
pleasant reflection
(1.91%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.44%)
tastefully blurred
(1.22%)
well chosen subject
(-19.14%)
well framed subject
(-10.37%)
well timed shot
(8.43%)
all
(-2.29%)
* 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.