Photos | Ira Glass Rocks the Bad Religion Glasshouse Concert
The crowd goes wild as Ira Glass belts out his favorite tunes into two microphones, framed by the spotlight and surrounded by fellow entertainers at the 2007 Bad Religion Glasshouse show.
BLIP-2 Description:
a man with glasses singing into a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
spotlight urban singing rock ring stage section microphone musical instrument horn solo performing arts entertainer performance ira glass art glasshouse club religon glasses brass bad life cord jewelry performer light accessories night recreation lighting device part concert crowd singer undershirt electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-1
focal length
70mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-06-28T21:09:21-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.52%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.93%)
harmonious color
(2.42%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(37.57%)
intrusive object presence
(-4.49%)
lively color
(0.85%)
low light
(99.27%)
noise
(-5.91%)
pleasant camera tilt
(0.56%)
pleasant composition
(0.63%)
pleasant lighting
(-7.16%)
pleasant pattern
(3.54%)
pleasant perspective
(7.77%)
pleasant post processing
(8.92%)
pleasant reflection
(0.03%)
pleasant symmetry
(0.76%)
sharply focused subject
(10.96%)
tastefully blurred
(4.04%)
well chosen subject
(35.03%)
well framed subject
(62.16%)
well timed shot
(16.11%)
all
(9.75%)
* 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.