Photos | Jamming at the Bad Religion Glasshouse Concert
Brett Gurewitz and his fellow guitarist rock out on stage, mesmerizing the crowd with their musical talent and electrifying energy.
BLIP-2 Description:
two men playing guitar on stage at a concertChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
brett string activities electric guitar spotlight rock leisure music speaker footwear stage musical instrument microphone performing arts musician entertainer guitarist brett g performance shoe art glasshouse chordophone gurewitz religon glasses bad cord electronics rekognition_c performer light group performance accessories musical instrument recreation band speakers bass device guitar concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
43mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2007-06-28T21:47:41-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(65.97%)
curation
(65.73%)
highlight visibility
(5.55%)
behavioral
(70.36%)
failure
(-0.17%)
harmonious color
(0.96%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(70.70%)
intrusive object presence
(-21.85%)
lively color
(-28.49%)
low light
(91.94%)
noise
(-2.78%)
pleasant camera tilt
(-1.84%)
pleasant composition
(-34.08%)
pleasant lighting
(-13.75%)
pleasant pattern
(2.32%)
pleasant perspective
(9.16%)
pleasant post processing
(6.57%)
pleasant reflection
(-2.12%)
pleasant symmetry
(0.61%)
sharply focused subject
(3.81%)
tastefully blurred
(10.77%)
well chosen subject
(-9.12%)
well framed subject
(58.25%)
well timed shot
(54.30%)
all
(6.51%)
* 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.