Photos | United in Black
Lewis Reeves, Masamune Wada, Robin Schulz, and Francisco C stand with a crowd of people wearing black shirts in Los Angeles.
BLIP-2 Description:
a group of people wearing black shirts standing togetherChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet talli pants classroom building window footwear alvaro v aealtallcy wristwatch hat masamune andy altallick shoe francisco groupshot hardware vincent shirt neal glasses altall indoors school district electronics lewis reeves jewelry todd screen accessories room monitor high heel wada tallick altallicr robin schulz computer team crowd andy n
iso
32
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2017-04-07T16:06:11.468000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.30%)
curation
(95.24%)
highlight visibility
(2.45%)
behavioral
(70.41%)
failure
(-0.76%)
harmonious color
(-1.56%)
immersiveness
(0.10%)
interaction
(4.00%)
interesting subject
(37.94%)
intrusive object presence
(-6.64%)
lively color
(-24.93%)
low light
(44.26%)
noise
(-4.08%)
pleasant camera tilt
(-9.13%)
pleasant composition
(-16.31%)
pleasant lighting
(-69.82%)
pleasant pattern
(21.61%)
pleasant perspective
(1.68%)
pleasant post processing
(2.00%)
pleasant reflection
(-1.66%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.39%)
tastefully blurred
(3.95%)
well chosen subject
(-14.50%)
well framed subject
(33.96%)
well timed shot
(4.12%)
all
(-4.86%)
* 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.