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:
group activities carlos spotlight urban rock leisure music mobile footwear stage hat performing arts musician performance shoe art machine glasses indoors audience soma life rekognition_c electronics theater performer light accessories musical instrument night recreation band lighting acosta phone guitar concert crowd consumer
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.