Photos | Earl Sweatshirt takes the Coachella Stage
Earl Sweatshirt performs in front of a crowd of 11, under the purple spotlight and booming speakers at Coachella Weekend 2, Day 1.
BLIP-2 Description:
a man on stage with purple lights and a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Location:
sweatshirt activities spotlight urban rock leisure music speaker footwear stage microphone hat performing arts musician entertainer guitarist performance shoe bag weekend art coachella life rekognition_c electronics performer light group performance accessories musical instrument night earl recreation handbag band speakers lighting device guitar day concert crowd electrical
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2013-04-20T00:28:51.970000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(57.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.22%)
harmonious color
(6.65%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(56.15%)
intrusive object presence
(-34.01%)
lively color
(-22.40%)
low light
(93.26%)
noise
(-2.81%)
pleasant camera tilt
(-7.81%)
pleasant composition
(-64.89%)
pleasant lighting
(-12.26%)
pleasant pattern
(11.16%)
pleasant perspective
(19.29%)
pleasant post processing
(2.22%)
pleasant reflection
(1.77%)
pleasant symmetry
(2.20%)
sharply focused subject
(0.56%)
tastefully blurred
(-11.07%)
well chosen subject
(-14.66%)
well framed subject
(16.19%)
well timed shot
(33.72%)
all
(3.30%)
* 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.