Photos | Mayday rally in the city
Mohammad Amir Khan and a group of 32 people hold signs and flags during the 2008 Mayday rally, accompanied by a crowd of protesters marching through the city.
BLIP-2 Description:
a group of people holding signs and flags in a cityMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
ador sky unity accessories mmigrant vehicle leisure shoe auto racing mayday_rally rights tod sign de electronics handbag amir day transportation necklace adventure rally inmigran legalización now crowd sport re performance hat protest flag ilusticia justice mayday activities traffic rechos girl recreation child boy khan stopos migrant las er legalization ijusticia footwear alto parade coalition hos art race rekognition_c mohammad bag outdoor text ya camera light para glasses intes jewelry derechos car redadas offroad worker
Detected Text
iso
100
metering mode
5
aperture
f/7.1
focal length
17mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(33.64%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.24%)
harmonious color
(-4.02%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-35.28%)
intrusive object presence
(-14.97%)
lively color
(7.28%)
low light
(5.83%)
noise
(-1.83%)
pleasant camera tilt
(-10.72%)
pleasant composition
(-88.77%)
pleasant lighting
(-19.59%)
pleasant pattern
(5.91%)
pleasant perspective
(-10.46%)
pleasant post processing
(-1.17%)
pleasant reflection
(3.51%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.44%)
tastefully blurred
(-5.15%)
well chosen subject
(-27.27%)
well framed subject
(-65.77%)
well timed shot
(-0.99%)
all
(-6.32%)
* 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 with AI (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.