Photos | Rocking the Glasshouse

Brett Gurewitz and another musician perform a high-energy concert at the Glasshouse in 2007. The duo belted out their hit songs under the electric spotlight, mesmerizing a pumped-up crowd with their musical instruments and passionate singing.
BLIP-2 Description:
two men on stage singing into microphonesMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
string activities electric guitar spotlight urban rock leisure music stage astronomy arts outdoors microphone moon performing musician entertainer guitarist brett g performance art glasshouse religon brett gurewitz glasses bad nature drum performer light group performance accessories musical instrument night recreation band t-shirt lighting device part guitar concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
45mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2007-06-28T21:39:21-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(60.45%)
curation
(65.70%)
highlight visibility
(5.55%)
behavioral
(70.49%)
failure
(-0.37%)
harmonious color
(5.81%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(39.82%)
intrusive object presence
(-14.82%)
lively color
(-17.03%)
low light
(98.58%)
noise
(-2.64%)
pleasant camera tilt
(0.27%)
pleasant composition
(-8.77%)
pleasant lighting
(-1.21%)
pleasant pattern
(4.88%)
pleasant perspective
(10.21%)
pleasant post processing
(2.72%)
pleasant reflection
(1.06%)
pleasant symmetry
(1.03%)
sharply focused subject
(4.69%)
tastefully blurred
(14.20%)
well chosen subject
(0.99%)
well framed subject
(42.90%)
well timed shot
(30.15%)
all
(8.36%)
* 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.