Photos | The Metropolis March
Liu Xiangrong and William Xalco lead a crowd of 49 people through the busy streets of the city. The group walks past towering buildings and colorful banners, creating a lively parade.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
advertisement urban flag street surtido trajes jeans al todo outdoor de relojeria footwear paracaballeros menudeo path niños ropa vaqueros plata pedestrian casual tiende city vestir protest publico par building sidewalk familia bie shoe vaquera oro store jean gran william pants en parade metropolis road toda architecture dickie blue para hat text liu xiangrong banner xalco mayoreo la tran walking crowd perfumeria land
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(24.13%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.46%)
harmonious color
(-1.76%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-70.75%)
intrusive object presence
(-10.35%)
lively color
(-5.72%)
low light
(13.28%)
noise
(-2.17%)
pleasant camera tilt
(-11.28%)
pleasant composition
(-91.89%)
pleasant lighting
(-40.84%)
pleasant pattern
(4.98%)
pleasant perspective
(-4.57%)
pleasant post processing
(3.15%)
pleasant reflection
(0.43%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.12%)
tastefully blurred
(-15.93%)
well chosen subject
(13.67%)
well framed subject
(-80.03%)
well timed shot
(0.01%)
all
(-7.71%)
* 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.