Photos | Duet with Dreadlocks
Ty Dolla $ign and a fellow musician perform on stage at Coachella 2017, singing into two microphones while showing off their unique headgear and accessories.
BLIP-2 Description:
two men with dreadlocks singing into microphonesChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
bracelet group skin activities headgear optical singing leisure music dolla stage ring equipment arts microphone hat $ign performing solo musician entertainer performance sun hat eyeglasses art scarf glasses coachella rekognition_c ty performer jewelry accessories musical instrument recreation band tattoo device part duet fedora singer electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
195mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2017-04-15T19:36:09.470000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.61%)
failure
(-0.34%)
harmonious color
(3.19%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(49.80%)
intrusive object presence
(-2.17%)
lively color
(9.85%)
low light
(45.73%)
noise
(-1.81%)
pleasant camera tilt
(1.03%)
pleasant composition
(9.76%)
pleasant lighting
(-13.28%)
pleasant pattern
(3.32%)
pleasant perspective
(1.51%)
pleasant post processing
(2.79%)
pleasant reflection
(3.81%)
pleasant symmetry
(0.44%)
sharply focused subject
(7.01%)
tastefully blurred
(11.86%)
well chosen subject
(15.78%)
well framed subject
(46.83%)
well timed shot
(20.63%)
all
(9.03%)
* 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.