Photos | Mayday Rally Marchers with Flags
Zeynab Khanlarova and Frost are among the 38 people in this outdoor parade walking down the city street with flags during the 2008 Mayday Rally.
BLIP-2 Description:
a group of people walking down the street with flagsChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
aeropostale cap protest imigrantes city urban recreation vehicle car sky child de transportation deportation accessories comunidades zeynab khanlarova baseball outdoor performance street road glasses al sau footwear crowd banner parade text cin no boy racis metropolis mayday_rally mayday rally headgear land redo hat art flag frost shoe
Detected Text
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-1
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-05-01T15:59:30-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.83%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.81%)
failure
(-0.32%)
harmonious color
(-2.01%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-27.17%)
intrusive object presence
(-11.57%)
lively color
(-1.71%)
low light
(28.42%)
noise
(-1.39%)
pleasant camera tilt
(-10.82%)
pleasant composition
(-86.47%)
pleasant lighting
(-48.34%)
pleasant pattern
(4.81%)
pleasant perspective
(-11.30%)
pleasant post processing
(0.85%)
pleasant reflection
(3.85%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.15%)
tastefully blurred
(-14.82%)
well chosen subject
(-9.04%)
well framed subject
(-56.84%)
well timed shot
(2.79%)
all
(-8.18%)
* 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.