Photos | May Day Rally: People Marching with a Banner
Rica Reinisch joins a crowd of 44 people carrying a large banner during the May Day rally in 2008. The banner reads, Workers of the world unite! as they walked down the busy city street, passing by various urban symbols and signs.
BLIP-2 Description:
people walking down the street with a large bannerMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
advertisement urban flag recreation phone glasses transportation shirt rally outdoor mobile footwear window bag sun 飞 path sky st way city rica reinisch mayday_rally arch sprint sidewalk r sign bicycle electronics shoe handbag linen decor sleeve 日 everyone dbur farmacia helmet 日日 mayday metropolis wristwatch road vehicle performance 附 symbol hat text light traffic long banner accessories shi home crowd one land
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(43.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.27%)
harmonious color
(3.22%)
immersiveness
(4.32%)
interaction
(1.00%)
interesting subject
(-21.66%)
intrusive object presence
(-1.51%)
lively color
(2.23%)
low light
(28.86%)
noise
(-1.76%)
pleasant camera tilt
(-5.30%)
pleasant composition
(-24.34%)
pleasant lighting
(-18.31%)
pleasant pattern
(19.19%)
pleasant perspective
(13.45%)
pleasant post processing
(1.80%)
pleasant reflection
(-3.16%)
pleasant symmetry
(2.08%)
sharply focused subject
(0.44%)
tastefully blurred
(3.00%)
well chosen subject
(-14.36%)
well framed subject
(-24.78%)
well timed shot
(-5.88%)
all
(1.84%)
* 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.