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:
activities boy @ urban rock leisure talk music baby stage arts outdoors performing solo musician bodda k jennitha performance balloon city party imae art qi guangpu toshiaki machine fun club oh shin-hwan glasses friday coachella audience teen pratyusha metropolis life nature wheel performer sneha deepthi group performance accessories musical instrument night recreation band lighting anto concert crowd
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.