Photos | Grand Performance by Ozomatli Draws Large Crowd

Margaret W. Wong, Yan Zibei, Patterson Hood, and Jayshree Khadilkar join the thousands of people gathered outside the building to enjoy the concert. The sea of headgear and accessories highlights the diverse audience present at the event. (June 10, 2007)
BLIP-2 Description:
a large crowd of people gathered outside a buildingMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
performances architecture headgear ciudad urban stdrbi classroom building margaret w. wong lecture speaker stage hat patterson hood grand crowd performance fargo bag grand_performances_ozomatli yan zibei glasses indoors audience school electronics jayshree accessories room recreation khadilkar ozomatli bank concert handbag
Detected Text
iso
1600
metering mode
5
aperture
f/6.3
focal length
48mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2007-06-10T17:42:49-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.69%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.46%)
harmonious color
(-2.26%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-62.26%)
intrusive object presence
(-11.87%)
lively color
(-5.13%)
low light
(0.76%)
noise
(-3.27%)
pleasant camera tilt
(-8.42%)
pleasant composition
(-81.05%)
pleasant lighting
(-11.55%)
pleasant pattern
(12.94%)
pleasant perspective
(1.62%)
pleasant post processing
(2.22%)
pleasant reflection
(-5.58%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.46%)
tastefully blurred
(-9.70%)
well chosen subject
(9.32%)
well framed subject
(-68.85%)
well timed shot
(2.20%)
all
(-3.53%)
* 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.