Photos | The March for Equality
A sea of people in white shirts and hats take to the streets to protest and demand equal rights in 2006.
BLIP-2 Description:
a large group of people in white shirts and hatsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
re bracelet headgear formal necklace flag chicano bautizos ya baseball envios food flower footwear mobile cap mass ce hat wristwatch mexican umb intations text performance comunion shoe tacos bag mexico art underwfar soy historia ilegal world parade bridal no glasses amaist watches electronics sign 愉 rear jewelry banner natal accessories recreation handbag india 系 comidas stop phone mexicana dreams casa protest de dinero crowd march dishwasher
Detected Text
2006 3414 346 4301 a accessories amaist bautizos bridal casa ce chicano comidas comunion de dinero dishwasher dreams envios flower food formal historia hr4437 ilegal india intations m march mass me mexican mexicana mexico natal no people re rear soy stop tacos umb underwfar watches with world ya your 愉 系
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2006-03-25T10:41:00-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(24.58%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.29%)
harmonious color
(-3.73%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-64.79%)
intrusive object presence
(-17.55%)
lively color
(-3.40%)
low light
(19.65%)
noise
(-1.81%)
pleasant camera tilt
(-14.37%)
pleasant composition
(-93.85%)
pleasant lighting
(-41.63%)
pleasant pattern
(3.93%)
pleasant perspective
(-14.04%)
pleasant post processing
(-0.51%)
pleasant reflection
(-3.59%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.27%)
tastefully blurred
(-2.33%)
well chosen subject
(-0.61%)
well framed subject
(-65.48%)
well timed shot
(12.68%)
all
(-8.60%)
* 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.