Photos | Ozomatli Concert Crowd

Prabhjot Singh, K. Jennitha Anto, Rishma Gurung, and Haricharan are just a few of the 46 people seen in this lively crowd at the 2007 Grand Performances Ozomatli concert. The musical instruments, colorful clothing, and festive accessories make for a fun and energetic parade of people enjoying live music and recreation.
BLIP-2 Description:
a large crowd of people at a concertMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
activities haricharan grand_performances_ozomatli musical prabhjot singh sword concert rishma gurung performances party fun leisure recreation parade glasses anto hat audience jennitha k brass section grand crowd musician ozomatli group performance weapon band music instrument drum performer performance accessories
iso
1600
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2007-06-10T18:35:18-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.25%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.48%)
failure
(-0.90%)
harmonious color
(-2.39%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-5.69%)
intrusive object presence
(-5.49%)
lively color
(5.43%)
low light
(2.05%)
noise
(-3.30%)
pleasant camera tilt
(-9.95%)
pleasant composition
(-68.07%)
pleasant lighting
(-32.47%)
pleasant pattern
(13.13%)
pleasant perspective
(-3.36%)
pleasant post processing
(1.02%)
pleasant reflection
(-2.30%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.98%)
tastefully blurred
(-30.91%)
well chosen subject
(-10.19%)
well framed subject
(-44.04%)
well timed shot
(9.51%)
all
(-3.84%)
* 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.