Photos | A Multitude Marching for a Cause
Lynne Brown, Jaya Sharma, Gurjit Kaur, Vrinda Grover, and Dmitry Mironov lead the pack of 38 people in a protest march down a bustling city street. The group's passionate energy is reflected in the dynamic light and movement captured in this photo from 2006.
BLIP-2 Description:
a large group of people walking down a streetMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
江 urban gurjit kaur flag street recreation 包 glasses outdoor footwear bag lynne brown criminal forare jaya st way city protest villa sign taxes 山风 shoe andel handbag weare fight grover los pay parade sharma vrinda metropolis road dream dmitry mironov performance symbol workers hat text light angeles traffic banner accessories ne 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
(39.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.29%)
harmonious color
(-2.43%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-24.98%)
intrusive object presence
(-9.08%)
lively color
(7.10%)
low light
(1.54%)
noise
(-1.93%)
pleasant camera tilt
(-8.92%)
pleasant composition
(-67.14%)
pleasant lighting
(-13.15%)
pleasant pattern
(9.23%)
pleasant perspective
(3.59%)
pleasant post processing
(3.42%)
pleasant reflection
(-1.90%)
pleasant symmetry
(1.00%)
sharply focused subject
(1.59%)
tastefully blurred
(14.18%)
well chosen subject
(-6.25%)
well framed subject
(-27.93%)
well timed shot
(6.92%)
all
(-1.01%)
* 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.