Photos | Rocking the Crowd at Coachella
Thomas Pridgen and Colt Ford giving an electrifying performance on stage as thousands of music enthusiasts cheer them on at Coachella 2017.
BLIP-2 Description:
a crowd of people at a concert with a stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
bracelet group activities spotlight urban rock leisure colt music speaker footwear stage arts musical instrument wristwatch hat performing musician performance shoe bag art hall glasses indoors coachella audience thomas pridgen life interior electronics theater jewelry performer light auditorium accessories room night recreation handbag band lighting rock concert concert ford crowd
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2017-04-16T17:15:22.590000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.83%)
harmonious color
(3.78%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-39.77%)
intrusive object presence
(-16.77%)
lively color
(-14.33%)
low light
(95.31%)
noise
(-3.91%)
pleasant camera tilt
(-12.43%)
pleasant composition
(-72.61%)
pleasant lighting
(-41.46%)
pleasant pattern
(8.74%)
pleasant perspective
(3.25%)
pleasant post processing
(-1.36%)
pleasant reflection
(-6.19%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.20%)
tastefully blurred
(-8.91%)
well chosen subject
(1.60%)
well framed subject
(-47.92%)
well timed shot
(14.87%)
all
(-4.07%)
* 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.