Photos | Bad Religion Rocks the Glasshouse
Brett Gurewitz leads the band in an electrifying Group Performance, complete with guitars, microphones, and speakers, as the crowd moves to their infectious Music at the Glasshouse in 2007.
BLIP-2 Description:
a man singing into a microphone while another man plays guitarChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
brett string group activities jeans pants spotlight urban leisure music footwear stage music band musical instrument microphone wristwatch performing arts musician entertainer guitarist brett g performance shoe art glasshouse gurewitz religon glasses bad cord rekognition_c performer light electric accessories instrument recreation speakers device guitar concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-1
focal length
45mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2007-06-28T14:27:31-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.83%)
curation
(65.89%)
highlight visibility
(5.57%)
behavioral
(70.52%)
failure
(-0.39%)
harmonious color
(3.81%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-6.06%)
intrusive object presence
(-12.04%)
lively color
(-23.12%)
low light
(98.97%)
noise
(-2.39%)
pleasant camera tilt
(-4.41%)
pleasant composition
(-67.29%)
pleasant lighting
(-39.60%)
pleasant pattern
(1.25%)
pleasant perspective
(8.14%)
pleasant post processing
(2.65%)
pleasant reflection
(2.15%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.76%)
tastefully blurred
(-5.56%)
well chosen subject
(-5.20%)
well framed subject
(-10.27%)
well timed shot
(23.66%)
all
(-2.10%)
* 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.