Photos | Santigold and the Skyline
The crowd was on their feet as Santigold and her band rocked the Coachella stage against the breathtaking outdoor backdrop.
BLIP-2 Description:
a group of people on stage at a concertChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban activities band sunday group device recreation vehicle lamp sky musician weekend coachella bicycle transportation accessories performing performer outdoor performance glasses silhouette footwear crowd musical santigold guitar concert music piano electrical rekognition_c stage arts leisure hat art microphone keyboard electronics shoe
iso
100
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
32mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
date
2012-04-22T16:00:10.660000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.76%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.37%)
harmonious color
(-1.70%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-50.49%)
intrusive object presence
(-17.72%)
lively color
(-13.85%)
low light
(97.12%)
noise
(-0.95%)
pleasant camera tilt
(-14.86%)
pleasant composition
(-86.28%)
pleasant lighting
(-63.38%)
pleasant pattern
(10.60%)
pleasant perspective
(14.28%)
pleasant post processing
(1.18%)
pleasant reflection
(-4.80%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.07%)
tastefully blurred
(-20.25%)
well chosen subject
(14.93%)
well framed subject
(-37.33%)
well timed shot
(12.09%)
all
(-7.07%)
* 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.