Photos | Bad Religion Rocks the Glasshouse
Brett Gurewitz and the rest of the band light up the stage as they perform for a crowd of 12 people at the Glasshouse in 2007. The lighting and sound equipment add to the excitement of this group performance by this iconic music band.
BLIP-2 Description:
a band playing in a large room with a stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
brett group activities spotlight urban leisure rock music speaker footwear stage music band microphone musician guitarist performance shoe glasshouse hardware machine gurewitz religon hall indoors bad wheel electronics rekognition_c theater performer screen light auditorium musical monitor instrument lighting device guitar concert computer crowd electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
date
2007-06-28T13:47:11-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.25%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.61%)
harmonious color
(-3.20%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(-43.26%)
intrusive object presence
(-6.18%)
lively color
(-52.34%)
low light
(99.76%)
noise
(-2.83%)
pleasant camera tilt
(-12.88%)
pleasant composition
(-81.35%)
pleasant lighting
(-62.94%)
pleasant pattern
(5.27%)
pleasant perspective
(2.16%)
pleasant post processing
(-5.16%)
pleasant reflection
(-5.04%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.12%)
tastefully blurred
(-15.09%)
well chosen subject
(7.89%)
well framed subject
(-55.81%)
well timed shot
(4.64%)
all
(-10.82%)
* 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,
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