Photos | Police Officers Standing Strong Against a Crowd
Officers Krishnamurthy Subramanian and Charlie Beck standing among a protest crowd during the Women's March in Los Angeles.
BLIP-2 Description:
a group of police officers standing in a crowdMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
blue sky crowd handbag city officer cap tokyo little tokyo glasses mark park cloudy tree metropolis united states sky trum little california civic leisure pre civic center womens adventure building center march mobile architecture protest spring footwear plant phone blue shoe winter accessories electronics vehicle transportation text los angeles bag parade hat st eos january iii krishnamurthy subramanian coachella sunglasses downtown wristwatch offroad continental canon grand ca activities sign charlie beck urban outdoor goggles jews
iso
400
metering mode
5
aperture
f/3.5
focal length
35mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
overall
(48.56%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.83%)
failure
(-0.56%)
harmonious color
(2.94%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(2.59%)
intrusive object presence
(-8.86%)
lively color
(-0.81%)
low light
(38.72%)
noise
(-3.27%)
pleasant camera tilt
(-6.28%)
pleasant composition
(-45.58%)
pleasant lighting
(-29.52%)
pleasant pattern
(6.20%)
pleasant perspective
(7.46%)
pleasant post processing
(7.26%)
pleasant reflection
(-3.13%)
pleasant symmetry
(0.61%)
sharply focused subject
(3.59%)
tastefully blurred
(19.63%)
well chosen subject
(-26.73%)
well framed subject
(1.11%)
well timed shot
(2.47%)
all
(-0.70%)
* 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.