Photos | Eugene Simon Rocks the Crowd at Coachella 2012
A massive crowd gathered inside a tent to witness Eugene Simon's performance at Coachella 2012. The container and luggage in the corners are a reminder of the temporary nature of this airport-like venue. Lighting added a dramatic effect to the stage, as the 47 People in attendance danced and sang along. #Concert #Crowd #People #Footwear #Accessories #Indoors
BLIP-2 Description:
a crowd of people are gathered in a large tentMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
accessories factory coachella audience vehicle shoe architecture urban part lighting train station train handbag transportation concert center sunday stage crowd iverson indoors hat outdoors airport building auditorium container weekend hall eugene simon theater terminal footwear luggage convention backpack bag railway market shelter glasses back
Detected Text
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(32.89%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.56%)
harmonious color
(-0.06%)
immersiveness
(1.27%)
interaction
(1.00%)
interesting subject
(-25.39%)
intrusive object presence
(-8.50%)
lively color
(-21.56%)
low light
(99.12%)
noise
(-2.59%)
pleasant camera tilt
(-11.12%)
pleasant composition
(-80.76%)
pleasant lighting
(-60.50%)
pleasant pattern
(10.50%)
pleasant perspective
(15.87%)
pleasant post processing
(-0.73%)
pleasant reflection
(-2.06%)
pleasant symmetry
(1.90%)
sharply focused subject
(0.05%)
tastefully blurred
(-9.08%)
well chosen subject
(22.47%)
well framed subject
(-63.87%)
well timed shot
(14.37%)
all
(-5.68%)
* 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 with AI (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.