Photos | Bad Religion's Glasshouse concert rocks the stage

Brett Gurewitz and his bandmates captivate the crowd with their musical prowess and edgy style, showcasing guitars, speakers, and tattoos while electrifying the room at the 2007 Glasshouse concert.
BLIP-2 Description:
a group of people playing music in a roomMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
brett string g skin group activities urban rock leisure music speaker footwear stage musical instrument microphone musician entertainer guitarist performance shoe art glasshouse gurewitz religon glasses bad rekognition_c electronics performer electric accessories musical instrument recreation band tattoo speakers device part guitar back concert crowd singer box electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
24mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
date
2007-06-28T14:01:34-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.42%)
curation
(65.46%)
highlight visibility
(5.54%)
behavioral
(70.54%)
failure
(-0.83%)
harmonious color
(-0.16%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-41.75%)
intrusive object presence
(-14.60%)
lively color
(-19.47%)
low light
(87.50%)
noise
(-2.66%)
pleasant camera tilt
(-10.93%)
pleasant composition
(-85.35%)
pleasant lighting
(-59.13%)
pleasant pattern
(4.37%)
pleasant perspective
(-4.61%)
pleasant post processing
(2.10%)
pleasant reflection
(0.44%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.24%)
tastefully blurred
(-17.88%)
well chosen subject
(-10.03%)
well framed subject
(-46.12%)
well timed shot
(3.46%)
all
(-9.80%)
* 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.