Photos | Down in the Crowd
Hank Green takes a break from the stage at 2010 Coachella, as Rishma Gurung captures the moment among the thriving outdoor architecture and bustling people.
BLIP-2 Description:
a man laying on the ground in front of a stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
hank green path walkway shelter outdoors urban city furniture rishma sunday undershirt part waterfront sky child market cafe coachella back girl mammal indoors bag accessories sidewalk wood photography outdoor animal chair road glasses building footwear camera architecture crowd cafeteria gurung tent pet dog shop water concert canopy shorts metropolis restaurant pedestrian handbag bazaar canine stage hat electronics plywood shoe
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2010-04-18T17:21:43.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.24%)
harmonious color
(3.52%)
immersiveness
(1.95%)
interaction
(1.00%)
interesting subject
(22.12%)
intrusive object presence
(-9.11%)
lively color
(-19.25%)
low light
(76.76%)
noise
(-3.30%)
pleasant camera tilt
(-4.52%)
pleasant composition
(-58.89%)
pleasant lighting
(-29.54%)
pleasant pattern
(6.05%)
pleasant perspective
(26.51%)
pleasant post processing
(1.30%)
pleasant reflection
(3.20%)
pleasant symmetry
(2.25%)
sharply focused subject
(0.34%)
tastefully blurred
(0.56%)
well chosen subject
(5.67%)
well framed subject
(-24.78%)
well timed shot
(18.98%)
all
(1.48%)
* 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.