Photos | Brett Gurewitz steals the show at Bad Religion Glasshouse concert
The spotlight is on Brett Gurewitz as he gives a solo performance, singing passionately into his microphone while a crowd of three men look on. The electric atmosphere is only enhanced by the dazzling lighting and two microphones on stage, making this a rock concert experience to remember.
BLIP-2 Description:
a man in a black shirt is singing into a microphoneMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
stage activities art g light singing glasses brett musician music summer brett gurewitz entertainer group performance part electrical religon leisure performer performing arts spotlight canon guitar device microphone t-shirt bad instrument bad religon glasshouse concert crowd rock urban accessories singer solo performance band musical performance june eos lighting glasshouse recreation
iso
1600
metering mode
5
aperture
f/2.8
focal length
66mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(54.49%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.66%)
harmonious color
(3.16%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(17.10%)
intrusive object presence
(-13.40%)
lively color
(-28.56%)
low light
(97.17%)
noise
(-5.76%)
pleasant camera tilt
(0.97%)
pleasant composition
(-4.80%)
pleasant lighting
(-25.42%)
pleasant pattern
(3.05%)
pleasant perspective
(8.42%)
pleasant post processing
(4.72%)
pleasant reflection
(1.28%)
pleasant symmetry
(0.73%)
sharply focused subject
(2.03%)
tastefully blurred
(-8.47%)
well chosen subject
(9.53%)
well framed subject
(44.75%)
well timed shot
(10.13%)
all
(3.59%)
* 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.