Photos | Center Stage
Pharoahe Monch, Afrika Islam, and Shaquelle Evans perform together at Coachella 2007 on a sunny Saturday afternoon, with a lively crowd cheering them on as the blue sky serves as their backdrop. One man holds up a microphone to capture every word, while the others are ready to take on the beats with their own electrical devices.
BLIP-2 Description:
a man holding up a microphone at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
rekognition_c afrika islam recreation bracelet glasses outdoor camera satruday evans sky coachella shorts crowd tree t-shirt headphones jewelry device concert monch electronics video photographer microphone plant wristwatch performance baseball speaker coachella_satruday hat blue shaquelle pharoahe accessories electrical cap part
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
70mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(56.05%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.10%)
harmonious color
(4.92%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(51.71%)
intrusive object presence
(-50.93%)
lively color
(-12.56%)
low light
(4.96%)
noise
(-0.24%)
pleasant camera tilt
(-4.66%)
pleasant composition
(-68.02%)
pleasant lighting
(-14.87%)
pleasant pattern
(2.25%)
pleasant perspective
(32.10%)
pleasant post processing
(5.65%)
pleasant reflection
(0.48%)
pleasant symmetry
(1.59%)
sharply focused subject
(1.42%)
tastefully blurred
(6.67%)
well chosen subject
(-8.68%)
well framed subject
(52.59%)
well timed shot
(56.79%)
all
(6.13%)
* 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.