Photos | Marching for Art and Unity
A crowd of 32 people, including R. Kamaraj, proudly hold 3 flags and a banner as they march through the urban metropolis, advocating for unity and recreation in the city.
BLIP-2 Description:
a group of people holding flags and signs in a cityChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
city nting march stasosto window mexico mass banner r. kamaraj rights juguetes susta llama gobierno ninos tu sacar hat rent ousiness niñas cortés tuve future accessories progra dc glasses al en paisano worldcantwait lopez www org construmex esperar flag hierbas contruyes dad recreation de downtown think sign casa méx full crowd ropa articulos text jettys project pole amnistia corriendo assistance onstru urban baby con aza los historic seguro performance retail puede bush edicinales mundo reality no metropolis el angeles flagpole parlour art shower
Detected Text
1800 2006 2110 213 323.462.4771 361 617 6271 8558 9148 919 a al all am amnistia and angeles articulos assistance aza baby bush by casa city con construmex contruyes corriendo cortés dad dc de downtown edicinales el en esperar for full future gobierno here hierbas historic if is jettys juguetes llama lopez los march mass mexico mundo méx ninos niñas no nting of onstru org ousiness paisano parlour progra project puede reality rent retail rights ropa sacar seguro shower stasosto susta the think tu tuve worldcantwait www y you
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400
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f/13
focal length
85mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2006-03-25T10:56:17-08:00
tzoffset
-28800
tzname
America/Los_Angeles
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pleasant camera tilt
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pleasant post processing
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* 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.