Photos | Green Hat Performer

Tyler, The Creator takes the stage at Coachella Weekend 2, Day 1, with Flying Lotus providing the beats and a plant- and tree-filled background. The crowd watches in awe. #concert #performance #music #stage #lighting
BLIP-2 Description:
a man in a green hat is on stageMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
flying lotus activities spotlight urban plant rock leisure creator music speaker footwear stage microphone hat solo performing arts tree musician performance shoe weekend art indoors coachella shorts helmet rekognition_c electronics theater performer light group performance musical instrument recreation band speakers tyler lighting device day concert crowd dancing electrical
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2013-04-20T00:34:04.050000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.78%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.29%)
harmonious color
(-1.84%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(35.06%)
intrusive object presence
(-18.38%)
lively color
(-24.17%)
low light
(88.77%)
noise
(-2.93%)
pleasant camera tilt
(-8.43%)
pleasant composition
(-59.13%)
pleasant lighting
(-40.75%)
pleasant pattern
(9.81%)
pleasant perspective
(15.54%)
pleasant post processing
(-0.66%)
pleasant reflection
(-1.53%)
pleasant symmetry
(1.78%)
sharply focused subject
(0.34%)
tastefully blurred
(-15.60%)
well chosen subject
(-8.29%)
well framed subject
(0.85%)
well timed shot
(18.81%)
all
(-2.21%)
* 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.