Photos | The Great American Boycott: A Massive Crowd Takes to the Streets
On May 1, 2007, over 50 people including Dietmar Huhn, Rajyavardhan Singh Rathore, Smriti Mehra, Jaya Sharma, and Lee Eol gathered in a metropolis to protest controversial land laws. The lively parade featured colorful banners, vibrant flags and a sea of people standing together to demand change.
BLIP-2 Description:
a large crowd of people in a city streetMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
urban flag rajyavardhan outdoor support jaya history morea way xing rathore immigration work city terrorist smriti mehra american dietmar huhn cou wayi singh nay lee eol parade sharma metropolis road ped great_american_boycott great text racist light traffic banner audience laws boycott ne crowd one land
Detected Text
iso
100
metering mode
5
aperture
f/7.1
exposure bias
0.32999999999999996
focal length
200mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(35.79%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.24%)
harmonious color
(4.19%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-25.34%)
intrusive object presence
(-31.20%)
lively color
(12.62%)
low light
(4.93%)
noise
(-2.98%)
pleasant camera tilt
(-9.27%)
pleasant composition
(-73.00%)
pleasant lighting
(-2.51%)
pleasant pattern
(6.30%)
pleasant perspective
(15.69%)
pleasant post processing
(2.66%)
pleasant reflection
(-2.33%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.93%)
tastefully blurred
(0.07%)
well chosen subject
(-3.60%)
well framed subject
(-34.81%)
well timed shot
(6.58%)
all
(0.67%)
* 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.