Photos | Gaming with the Pros
Charlie Benante, Paul Bostaph, John Dolmayan, and Bel Pesce gather around a table to play video games at the 2009 NAMM convention.
BLIP-2 Description:
a group of people standing around a table with a video gameChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
benante pen refreshm cafeteria necklace urban anthrax broadway namm gambling tycoon publication ha mcgerr jan byrne wristwatch hat test restaurant furniture paul cent freeman rlie bel scars exhibitor hardware machine desk shirt john dolmayan glasses dolmayan poster indoors book electronics sign shop jewelry screen table accessories monitor bostaph market прагр pesce game tv phone charlie benante day advertisement computer bai crowd service troopery
Detected Text
iso
1600
metering mode
5
aperture
f/5
focal length
27mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-01-16T14:18:25.480000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.20%)
harmonious color
(0.25%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-23.61%)
intrusive object presence
(-12.11%)
lively color
(-10.51%)
low light
(14.33%)
noise
(-1.46%)
pleasant camera tilt
(-5.13%)
pleasant composition
(-74.85%)
pleasant lighting
(-33.20%)
pleasant pattern
(5.37%)
pleasant perspective
(0.40%)
pleasant post processing
(7.90%)
pleasant reflection
(-3.48%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.42%)
tastefully blurred
(-16.28%)
well chosen subject
(-37.48%)
well framed subject
(-41.04%)
well timed shot
(-6.08%)
all
(-6.91%)
* 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.