Photos | Coachella Selfie
Dave B and a friend capture a moment in front of the sound board at Coachella 2003, day 2 featuring performances by White Stripes and Red Hot Chili Peppers. #Coachella #Selfie #MusicFestival #WhiteStripes #RHCP #Friends #Memories #2003
BLIP-2 Description:
a man and woman taking a selfie in front of a sound boardChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting jacket cap outdoors urban eyeglasses baseball cap dave undershirt wear jeans part tie laughing happy tattoo stripes coachella skin formal accessories equipment shirt photography baseball jewelry sunglasses night optical glasses mouth selfie club white peppers portrait earring headgear hat art nature teeth coat
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/30s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-12-01T03:50:58-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.89%)
curation
(66.27%)
highlight visibility
(5.60%)
behavioral
(70.67%)
failure
(-0.37%)
harmonious color
(-0.08%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-1.64%)
intrusive object presence
(-14.75%)
lively color
(7.71%)
low light
(93.02%)
noise
(-3.66%)
pleasant camera tilt
(-2.93%)
pleasant composition
(-58.06%)
pleasant lighting
(-35.01%)
pleasant pattern
(1.83%)
pleasant perspective
(-4.19%)
pleasant post processing
(0.13%)
pleasant reflection
(-0.35%)
pleasant symmetry
(0.27%)
sharply focused subject
(3.49%)
tastefully blurred
(3.33%)
well chosen subject
(-31.62%)
well framed subject
(31.40%)
well timed shot
(5.04%)
all
(-4.12%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.