Photos | Jamming with the Crowd: A Musical Parade

Ricardo Franco and Janko Tipsarević join Juan González Mesa, Alex Mallari Jr., and Sandra Aguilar in a lively performance for 2007's Grand Performances Ozomatli.
BLIP-2 Description:
a crowd of people gathered around a drum and a man playing a tromboneMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
instrument cap percussion activities band group mallari recreation ricardo franco musician membranophones juan gonzález mesa ozomatli drum wristwatch accessories janko performer baseball jewelry performance tipsarević drummer alex glasses footwear camera grand crowd musical instrument musical concert parade music sandra aguilar performances jr bracelet headgear leisure grand_performances_ozomatli hat electronics shoe
iso
1600
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2007-06-10T18:34:41-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.20%)
harmonious color
(1.14%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-28.44%)
intrusive object presence
(-48.78%)
lively color
(-3.54%)
low light
(1.73%)
noise
(-0.93%)
pleasant camera tilt
(-8.13%)
pleasant composition
(-90.33%)
pleasant lighting
(-28.91%)
pleasant pattern
(1.98%)
pleasant perspective
(-3.20%)
pleasant post processing
(-0.58%)
pleasant reflection
(2.84%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.46%)
tastefully blurred
(-0.35%)
well chosen subject
(-20.62%)
well framed subject
(-58.01%)
well timed shot
(9.27%)
all
(-6.07%)
* 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.