Photos | Metropolis Mourns: A Tribute to the Los Angeles Shooting Victims
Michael Berryman stands in front of a memorial altar adorned with flower arrangements and candles, honoring the 12 people who lost their lives in the tragedy. The lighting of an office building and the night sky provide a solemn backdrop to the outpouring of support from the urban community.
BLIP-2 Description:
a memorial for the victims of the los angeles shootingMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
crossing urban planter clock 獨 church night plate restaurant outdoor water 棒 vase rise garden altar sky tower tree fence potted prayer city candle rose flower building vigil bouquet lighting outdoors nature hotel pottery neighborhood 矿 flower arrangement glass michael berryman office plant metropolis road high fountain architecture petal 稍 indoors jar
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/4s
camera make
Apple
camera model
lens model
overall
(31.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.66%)
harmonious color
(-1.60%)
immersiveness
(0.15%)
interaction
(2.00%)
interesting subject
(-3.23%)
intrusive object presence
(-3.76%)
lively color
(-11.26%)
low light
(99.80%)
noise
(-9.57%)
pleasant camera tilt
(-6.36%)
pleasant composition
(-46.53%)
pleasant lighting
(-70.41%)
pleasant pattern
(20.70%)
pleasant perspective
(1.35%)
pleasant post processing
(1.92%)
pleasant reflection
(-2.86%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.32%)
tastefully blurred
(-7.90%)
well chosen subject
(-23.02%)
well framed subject
(-13.62%)
well timed shot
(6.35%)
all
(-6.84%)
* 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.