Photos | March Through the Metropolis
Glynn Turman, Asha Rawat, and William Blum lead a crowd of 40 people through the urban streets in 2007 as part of a performance by the black minutemen.
BLIP-2 Description:
a group of people walking down a streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban mexico street black_minutemen recreation cheques transportation balfour outdoor checks de footwear window bag minutemen path sky robert deport crowd pedestrian shapiro advance city glynn turman arch building cashed sidewalk william blum andrew bl sign cambio shoe handbag bicycle open black optometrists helmet now pago g asha parade metropolis wristwatch road vehicle performance symbol architecture hat light traffic rawat banner aselantado accessories lamppost levis walking broade dr land
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
overall
(37.23%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.29%)
harmonious color
(1.95%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-24.71%)
intrusive object presence
(-14.43%)
lively color
(-5.69%)
low light
(6.88%)
noise
(-2.20%)
pleasant camera tilt
(-7.85%)
pleasant composition
(-76.56%)
pleasant lighting
(-25.12%)
pleasant pattern
(11.91%)
pleasant perspective
(5.74%)
pleasant post processing
(3.63%)
pleasant reflection
(3.05%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.15%)
tastefully blurred
(-7.55%)
well chosen subject
(-0.73%)
well framed subject
(-55.18%)
well timed shot
(2.15%)
all
(-2.99%)
* 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.