Photos | Great American Boycott March
A group of enthusiastic people holding American flags and signs during the 2007 Great American Boycott march, including Oluwarotimi Odunayo Akeredolu and Daniel Thomas.
BLIP-2 Description:
a group of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
strug raids flag recreation daniel deportaciones action bracelet glasses oluwarotimi odunayo akeredolu transportation car internati leisure march fod war no stop activities crowd necklace mal gan als jewelry bs las ai acion tera protest fr mig wa american sign mar rants irao gra ction adventure parade bord center ger performance alto ines great_american_boycott vehicle todos hat text ers great deportations banner thomas accessories ure boycott immigrants redadas art eg ask
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
46mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(49.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.10%)
harmonious color
(3.43%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(31.93%)
intrusive object presence
(-11.79%)
lively color
(35.28%)
low light
(0.32%)
noise
(-0.51%)
pleasant camera tilt
(-5.59%)
pleasant composition
(-59.67%)
pleasant lighting
(-10.46%)
pleasant pattern
(11.84%)
pleasant perspective
(8.74%)
pleasant post processing
(0.72%)
pleasant reflection
(0.31%)
pleasant symmetry
(1.20%)
sharply focused subject
(1.86%)
tastefully blurred
(8.15%)
well chosen subject
(-6.83%)
well framed subject
(-13.81%)
well timed shot
(24.02%)
all
(4.47%)
* 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.