Photos | Entertainers on Stage
![Entertainers on Stage](https://eecue.com/img/640/de580749fd.jpg)
DJ Scratch and another performer captivate the crowd at Coachella Weekend 2 Day 2 with their musical performance and stylish clothing.
BLIP-2 Description:
two men on stage at a concert with one holding a microphoneMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
weekend art urban rekognition_c instrument recreation jeans bracelet music glasses performing arts musician sneaker footwear shoes group performance leisure coachella activities musical necklace entertainer 好好 jewelry band device concert performer stage lighting glove shoe electronics scratch string day microphone rock spotlight guitarist wristwatch rock concert performance guitar speaker dj hat light speakers accessories electric electrical crowd
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
23mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
overall
(45.73%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.68%)
harmonious color
(0.48%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(27.08%)
intrusive object presence
(-9.16%)
lively color
(-12.87%)
low light
(99.85%)
noise
(-4.66%)
pleasant camera tilt
(-10.88%)
pleasant composition
(-51.51%)
pleasant lighting
(-37.74%)
pleasant pattern
(7.06%)
pleasant perspective
(12.34%)
pleasant post processing
(1.65%)
pleasant reflection
(-2.58%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.56%)
tastefully blurred
(-20.30%)
well chosen subject
(-24.78%)
well framed subject
(0.66%)
well timed shot
(12.87%)
all
(-2.10%)
* 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.