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:
architecture cafeteria sunday gurung urban building chair child footwear hank green stage plywood pedestrian outdoors tent hat sidewalk walkway crowd girl restaurant furniture outdoor road pet sky wood bag city shoe dog camera glasses indoors coachella water shorts waterfront metropolis path electronics canine accessories rishma market bazaar cafe canopy part photography mammal back animal concert shop handbag undershirt shelter
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.