Photos | White Shirts and Hats Take to the Streets

A crowd of 54 people, including Rory Quintos, Eden Robinson, and Wally Lewis, don white shirts and hats for a performance protest in March 2006.
BLIP-2 Description:
a large group of people in white shirts and hatsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
giron shirt machine cap protest envios burritos dreams tacos quintos march recreation vehicle re de immigrants soccer kers criminali wristwatch aliala umbro accessories dishwasher sign casa bag mexico baseball jewelry performance eden robinson glasses al footwear full crowd mexican necklace food banner ci parade ex rights text lewis mexicana handbag rekognition_c india rory headgear wally hat art nistia flag comidas amnistia dinero shoe
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-03-25T10:41:12-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.34%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.29%)
harmonious color
(-2.73%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-64.40%)
intrusive object presence
(-23.07%)
lively color
(3.21%)
low light
(23.32%)
noise
(-2.83%)
pleasant camera tilt
(-10.72%)
pleasant composition
(-94.68%)
pleasant lighting
(-35.28%)
pleasant pattern
(3.37%)
pleasant perspective
(-10.30%)
pleasant post processing
(0.70%)
pleasant reflection
(-0.01%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.42%)
tastefully blurred
(-2.97%)
well chosen subject
(-10.64%)
well framed subject
(-74.51%)
well timed shot
(0.30%)
all
(-8.27%)
* 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.