Photos | Jamming with the Festive Crowd
Pokras Lampas, Trent Barreta, and Brock Lesnar join the pumped-up crowd at Coachella 2016, soaking in the pulsing light and electric energy of the concert.
BLIP-2 Description:
a crowd of people at a music festivalChronologically 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 sunday spotlight urban rock mobile stage arts hat wristwatch performing lampas performance party brock art fun club glasses coachella audience life interior rekognition_c electronics jewelry light accessories nightclub room night recreation lesnar lighting pokras phone trent barreta concert crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2016-04-17T18:42:42.860000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(54.79%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.29%)
failure
(-0.39%)
harmonious color
(8.08%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(41.26%)
intrusive object presence
(-4.98%)
lively color
(-20.18%)
low light
(99.51%)
noise
(-2.27%)
pleasant camera tilt
(-10.63%)
pleasant composition
(-31.42%)
pleasant lighting
(-32.13%)
pleasant pattern
(10.57%)
pleasant perspective
(16.52%)
pleasant post processing
(-0.60%)
pleasant reflection
(-1.86%)
pleasant symmetry
(1.49%)
sharply focused subject
(0.46%)
tastefully blurred
(-4.05%)
well chosen subject
(-11.72%)
well framed subject
(-4.52%)
well timed shot
(49.54%)
all
(4.69%)
* 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.