Photos | Crowd gathers at the 2009 NAMM Convention
A group of 16 people, including 5 women and 6 adults, wearing urban clothing and accessories, stand around chatting and checking out merchandise at the 2009 NAMM Convention in California. The crowd is adorned with hats, glasses, necklaces, and wristwatches while some carry handbags and luggage. A sign and various electronic screens and hardware can be seen in the background.
BLIP-2 Description:
a group of people standing around at a conventionMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
advertisement urban schedule lamp night jeans ring glasses party transportation hellyeah computer societ osb ozzy footwear bag gates adicts eance label signing shorts necklace container pete danzig ch victor prong dale jewelry hardware zilla deservio jd namm papa sign tommy electronics shoe handbag chris aircraft roach back tattoo airplane skin pants blasko artist wristwatch seether screen vehicle life bob hat jes saturday stewart fun accessories monitor black blake luggage crowd dee part
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
20mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(28.08%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.49%)
harmonious color
(0.48%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-64.36%)
intrusive object presence
(-17.87%)
lively color
(-1.70%)
low light
(6.57%)
noise
(-1.78%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-91.65%)
pleasant lighting
(-33.11%)
pleasant pattern
(3.27%)
pleasant perspective
(-2.40%)
pleasant post processing
(4.39%)
pleasant reflection
(-1.02%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.32%)
tastefully blurred
(-26.17%)
well chosen subject
(-16.92%)
well framed subject
(-65.19%)
well timed shot
(5.10%)
all
(-6.88%)
* 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.