Photos | Coachella 2011: Unleashing the Music and the Crowd
The sun was shining bright and the crowd was roaring louder than ever at Coachella 2011, as Ami Vitale, Sneha Deepthi, Daniel Sarmiento Melián, Li Hongli, Gaëtan Dussausaye, and Qi Guangpu joined the army of 24,000 people, donning their best hats, sunglasses, and jewelry to celebrate the ultimate music festival experience.
BLIP-2 Description:
a large crowd of people at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
ii urban bracelet glasses festival outdoor gaëtan dussausaye camera guangpu teen sky coachella ami vitale necklace eos canon qi jewelry concert li electronics april friday mark blue sky deepthi boy spring baseball hat sunglasses hongli audience accessories headgear sneha crowd daniel sarmiento melián
iso
800
metering mode
5
aperture
f/2.8
focal length
21mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
overall
(44.58%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.54%)
harmonious color
(1.78%)
immersiveness
(0.85%)
interaction
(1.00%)
interesting subject
(23.90%)
intrusive object presence
(-21.83%)
lively color
(-9.10%)
low light
(6.42%)
noise
(-1.44%)
pleasant camera tilt
(-7.94%)
pleasant composition
(-51.17%)
pleasant lighting
(-25.00%)
pleasant pattern
(8.06%)
pleasant perspective
(0.97%)
pleasant post processing
(0.37%)
pleasant reflection
(2.36%)
pleasant symmetry
(0.51%)
sharply focused subject
(1.12%)
tastefully blurred
(1.23%)
well chosen subject
(6.33%)
well framed subject
(-34.79%)
well timed shot
(12.04%)
all
(-0.25%)
* 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.