Photos | Patriotic March
A crowd of 79 people, including Natalia Anciso, Tariq Ahmad, Baron Ahmad of Wimbledon, and Miles Austin, walk down a city street adorned with American flags on May 1, 2006. The energy is electric as they proudly show their patriotism and love for their country.
BLIP-2 Description:
a large group of people walking down a street with american flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
amnesty urban flag street ahmad v's jiamand balfour outdoor de dave tipp footwear bag wimbledon crowd city wholesale vith jewelry protest lease sign andrew shoe handbag oro ортом elefante tariq natalia anciso borde miles austin angbleg importad parade works metropolis road garantizado metro tel hat caveras fante light traffic stereos mayoreo baron accessories wou art dr land
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
overall
(28.39%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.42%)
harmonious color
(-4.62%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-57.37%)
intrusive object presence
(-8.01%)
lively color
(1.67%)
low light
(22.02%)
noise
(-2.17%)
pleasant camera tilt
(-13.90%)
pleasant composition
(-87.50%)
pleasant lighting
(-35.18%)
pleasant pattern
(8.50%)
pleasant perspective
(-2.64%)
pleasant post processing
(3.10%)
pleasant reflection
(-0.15%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-9.19%)
well chosen subject
(6.30%)
well framed subject
(-72.46%)
well timed shot
(2.15%)
all
(-6.23%)
* 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.