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:
urban united womens winter phone civic tokyo glasses transportation cap outdoor continental mobile footwear bag activities leisure march sky coachella officer park little tokyo offroad january tree eos states canon grand city protest st iii building beck sign electronics shoe handbag goggles charlie cloudy mark los angeles blue sky little adventure jews plant parade spring downtown metropolis wristwatch center civic center vehicle ca architecture blue sunglasses text hat pre accessories trum crowd krishnamurthy subramanian california
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 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.