Photos | Proud Americans
A group of people holding American flags high as they walk on the city street.
BLIP-2 Description:
a group of people holding american flags on a city streetMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
art star emory flag street super brought black_minutemen urban glasses fune arations transportation vide outdoor animal mobile bird citizen philips footwear bag minutemen path ho sky slave ancestors xing plata ari city plat jewelry car sidewalk sprint american slaves america sign shoe handbag aves sanyo repar ocaust welry inc now watches casio verizon metropolis road ped vehicle ca symbol para ck hat light bus traffic digital banner mayoreo accessories monitor invaded black audio zran land
Detected Text
1074 213 488 528 622 9977 america american arations aves ari as audio b ca casio ck citizen digital emory fune ho invaded jewelry mayoreo monitor now ocaust our ped philips plat plata people repar sanyo star super slaves sprint t vide watches welry xing y zran an ancestors been brought has inc is mobile of para slave that the to verizon
iso
100
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(35.60%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.37%)
harmonious color
(1.01%)
immersiveness
(0.71%)
interaction
(1.00%)
interesting subject
(-36.55%)
intrusive object presence
(-17.80%)
lively color
(9.33%)
low light
(6.27%)
noise
(-1.61%)
pleasant camera tilt
(-7.87%)
pleasant composition
(-81.74%)
pleasant lighting
(-22.41%)
pleasant pattern
(7.76%)
pleasant perspective
(-3.00%)
pleasant post processing
(-0.30%)
pleasant reflection
(1.39%)
pleasant symmetry
(1.03%)
sharply focused subject
(0.39%)
tastefully blurred
(2.38%)
well chosen subject
(-21.06%)
well framed subject
(-49.61%)
well timed shot
(6.51%)
all
(-3.97%)
* 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.