Photos | Massive Crowd Protests in the Metropolis
Dozens of people took to the streets in a show of solidarity and resistance, marking a historic moment in the city's history.
BLIP-2 Description:
a large crowd of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban united flag recreation young ring stand glasses transportation doksv endorse hr manicad tie formal footwear jiggy bag igrant meijiao march biii iticians nner orld along cism stop anti crowd vegas city vigilantes hunting full protest las gainst ion rumeli dhar sign glove shoe handbag brothers lin scarlett estevez border parade metropolis wristwatch vehicle performance rignes hat text mass wear ar created king fornia banner accessories audience lachlan sharp sisters art
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(30.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.17%)
harmonious color
(-1.04%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-49.44%)
intrusive object presence
(-8.98%)
lively color
(9.50%)
low light
(9.64%)
noise
(-2.03%)
pleasant camera tilt
(-11.83%)
pleasant composition
(-89.94%)
pleasant lighting
(-26.54%)
pleasant pattern
(5.79%)
pleasant perspective
(-4.97%)
pleasant post processing
(3.67%)
pleasant reflection
(-1.68%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.20%)
tastefully blurred
(-18.36%)
well chosen subject
(0.21%)
well framed subject
(-68.07%)
well timed shot
(6.27%)
all
(-4.98%)
* 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.