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:
performances sandra aguilar bracelet group activities headgear leisure baseball tipsarević music footwear mallari cap janko musical instrument wristwatch hat grand membranophones musician jr ricardo franco performance shoe grand_performances_ozomatli parade camera glasses alex electronics performer jewelry accessories drummer musical instrument recreation band percussion ozomatli juan gonzález mesa concert crowd drum
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.