Photos | Three Women Grooving to the Music Outdoors
Bryn McAuley and her friends enjoying some live music under the blue sky at Coachella 2013 Weekend 2 Day 2.
BLIP-2 Description:
three women standing together at an outdoor concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet necklace urban baseball fence portrait mobile footwear cap boardwalk transportation hat luggage wristwatch sidewalk lyrics girl road outdoor sky container shoe vacation city bag land weekend fun shirt glasses water shorts teen bicycle waterfront metropolis path coachella sunglasses ge electronics backpack grass jewelry vehicle skirt bryn mcauley accessories bridge blouse handbag phone photography dress smile happy day tourist crowd
iso
400
metering mode
5
aperture
f/2.8
exposure bias
1.67
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2013-04-20T18:46:27.490000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.19%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.81%)
failure
(-0.15%)
harmonious color
(2.39%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(28.47%)
intrusive object presence
(-25.15%)
lively color
(-15.78%)
low light
(9.74%)
noise
(-1.88%)
pleasant camera tilt
(-10.06%)
pleasant composition
(-71.44%)
pleasant lighting
(-33.25%)
pleasant pattern
(3.00%)
pleasant perspective
(-1.18%)
pleasant post processing
(-2.21%)
pleasant reflection
(3.10%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.63%)
tastefully blurred
(2.97%)
well chosen subject
(-17.15%)
well framed subject
(20.17%)
well timed shot
(16.43%)
all
(-3.63%)
* 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.