Photos | Carlos Acosta Rocks the Stage in San Francisco

A crowd of 18 people watches as Carlos Acosta performs with his band at a rock concert in San Francisco. The stage is illuminated with spotlights and the audience captures the moment on their mobile phones and cameras.
BLIP-2 Description:
a man on stage with a band and a crowd of peopleMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
lighting instrument carlos machine soma urban activities theater band consumer group recreation musician acosta spotlight indoors accessories performer rock performance night glasses footwear crowd musical guitar concert audience music light mobile phone life rekognition_c stage leisure hat art performing arts electronics shoe
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.77
longitude
-122.42
shutter speed
1/63s
camera make
Apple
camera model
lens model
date
2019-08-07T19:46:56.090000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-1.15%)
harmonious color
(-1.31%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-18.73%)
intrusive object presence
(-16.89%)
lively color
(-34.08%)
low light
(96.14%)
noise
(-23.10%)
pleasant camera tilt
(-10.42%)
pleasant composition
(-67.92%)
pleasant lighting
(-62.06%)
pleasant pattern
(7.47%)
pleasant perspective
(-10.41%)
pleasant post processing
(-5.48%)
pleasant reflection
(-4.81%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.20%)
tastefully blurred
(-5.11%)
well chosen subject
(-39.45%)
well framed subject
(-42.16%)
well timed shot
(2.60%)
all
(-11.93%)
* 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.