Photos | Metropolis March
Priscilla Lopes-Schliep, Ivana Maria Furtado, and Neetu David join a crowd of 47 people carrying bags and walking through the urban streets of Metropolis during a protest parade on May 1, 2006. The group passes by street signs and traffic lights as they hold up banners and symbols for their cause.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
urban flag street jeans maria glasses outdoor org footwear bag amnistía st stop way pedestrian priscilla lopes-schliep city full protest las wa sign furtado shoe andel 工 handbag answerla hoy pants los parade metropolis road dream symbol neetu david archamos rights light angeles text traffic banner ivana accessories immigrants crowd one land
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
overall
(41.82%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.39%)
harmonious color
(-1.22%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-7.56%)
intrusive object presence
(-5.32%)
lively color
(12.68%)
low light
(2.29%)
noise
(-2.71%)
pleasant camera tilt
(-8.31%)
pleasant composition
(-62.70%)
pleasant lighting
(-8.97%)
pleasant pattern
(8.94%)
pleasant perspective
(7.32%)
pleasant post processing
(2.73%)
pleasant reflection
(-0.87%)
pleasant symmetry
(0.76%)
sharply focused subject
(1.93%)
tastefully blurred
(21.79%)
well chosen subject
(-2.33%)
well framed subject
(-43.82%)
well timed shot
(13.01%)
all
(1.26%)
* 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.