Photos | Great American Boycott Parade
A crowd of people including Anil Madhav Dave, Priscilla Lopes-Schliep, and Jia Zongyang, walk down the street wearing patriotic clothing and holding American flags during the Great American Boycott Parade in 2007. Many wear hats and headgear to shield against the sun while enjoying the outdoor recreation of the event.
BLIP-2 Description:
a group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
flag street rekognition_c recreation zongyang deportaciones jeans child shirt cap outdoor dave footwear bag sun shorts anil crowd priscilla lopes-schliep tennis madhav las american 所 shoe handbag boy racket pants parade road performance great_american_boycott great hat sport jia accessories headgear boycott art land
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
48mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
overall
(30.81%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.42%)
harmonious color
(-2.41%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-6.33%)
intrusive object presence
(-10.57%)
lively color
(0.86%)
low light
(9.91%)
noise
(-3.64%)
pleasant camera tilt
(-6.91%)
pleasant composition
(-83.30%)
pleasant lighting
(-22.62%)
pleasant pattern
(3.54%)
pleasant perspective
(-3.20%)
pleasant post processing
(-1.37%)
pleasant reflection
(3.52%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.44%)
tastefully blurred
(-27.03%)
well chosen subject
(-21.69%)
well framed subject
(-39.97%)
well timed shot
(9.63%)
all
(-5.13%)
* 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.