Photos | Girl Talk Crowd @ Coachella
The crowd goes wild as Oh Shin-hwan, Toshiaki Imae, Sneha Deepthi, Bodda Pratyusha, Qi Guangpu, and K. Jennitha Anto perform on a large stage at Coachella 2014.
BLIP-2 Description:
a crowd of people at a concert with a large stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5078w x 3142h - (download 4k)
Usage
Dominant Color:
lighting instrument machine wheel city urban outdoors activities band bodda baby recreation musician teen anto talk coachella toshiaki accessories performer rock jennitha performance night glasses imae crowd solo club musical friday concert audience music k party boy metropolis oh shin-hwan qi guangpu life balloon stage arts leisure sneha deepthi art performing nature group performance fun @ pratyusha
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2000-01-01T00:00:40.410000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.44%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-1.25%)
harmonious color
(3.28%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-70.51%)
intrusive object presence
(-43.14%)
lively color
(-31.76%)
low light
(88.67%)
noise
(-4.96%)
pleasant camera tilt
(-12.22%)
pleasant composition
(-93.02%)
pleasant lighting
(-53.32%)
pleasant pattern
(1.32%)
pleasant perspective
(-9.83%)
pleasant post processing
(-1.72%)
pleasant reflection
(0.78%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.12%)
tastefully blurred
(-2.76%)
well chosen subject
(15.50%)
well framed subject
(-59.57%)
well timed shot
(-3.51%)
all
(-10.57%)
* 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.