Photos | Nicko McBrain at NAMM Convention

A man with long hair and a black shirt, Nicko McBrain, poses with fans at the 2009 NAMM convention. He wears a T-shirt, ring, and bracelet, while holding up a sign with his hand. Three women and five other adults are visible in the background, as well as wood panels and posters on the walls.
BLIP-2 Description:
a man with long hair and a black shirt at a conventionMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture bracelet cafeteria hair namm building pub baseball portrait blonde publication nicko mcbrain cap ring plywood hat library restaurant wood manufacturing camera glasses indoors poster factory book electronics sign shop jewelry accessories t-shirt part photography advertisement goggles crowd
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2009-01-16T14:43:35.430000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(48.36%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.44%)
harmonious color
(1.27%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-1.03%)
intrusive object presence
(-9.57%)
lively color
(6.54%)
low light
(55.03%)
noise
(-3.69%)
pleasant camera tilt
(-2.58%)
pleasant composition
(-19.71%)
pleasant lighting
(3.99%)
pleasant pattern
(3.44%)
pleasant perspective
(-2.59%)
pleasant post processing
(7.04%)
pleasant reflection
(-2.06%)
pleasant symmetry
(0.10%)
sharply focused subject
(12.13%)
tastefully blurred
(42.41%)
well chosen subject
(-43.77%)
well framed subject
(49.24%)
well timed shot
(-15.93%)
all
(1.91%)
* 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.