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:
villa andel flag criminal urban footwear pay gurjit kaur way hat crowd road outdoor one sharma text ne performance traffic city shoe weare bag land street parade glasses 包 jaya angeles 山风 metropolis banner sign los light workers accessories forare recreation handbag lynne brown vrinda grover fight st dmitry mironov protest taxes 江 dream symbol
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
date
2006-05-01T11:30:07-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.16%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
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.