Photos | Coachella Music Festival 2009

Claus Holm and a female companion take in the sights and sounds of the festival while sporting trendy shorts, backpacks, and headphones. The blue skies, palm trees, and bustling crowd in the background provide a vibrant backdrop to the outdoor event.
BLIP-2 Description:
a man with headphones and a woman standing next to himMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet summer jeans necklace pants plant soil baseball mobile footwear cap transportation hat wristwatch crowd tree girl outdoor sky bag shoe truck machine shirt glasses coachella shorts teen photographer electronics backpack vehicle car jewelry camping accessories headphones part automobile phone palm back advertisement handbag undershirt claus holm
iso
1600
metering mode
5
aperture
f/5
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2009-04-18T18:20:05.180000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.11%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.79%)
failure
(-0.20%)
harmonious color
(3.23%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(6.22%)
intrusive object presence
(-13.21%)
lively color
(-16.54%)
low light
(7.23%)
noise
(-2.37%)
pleasant camera tilt
(-5.27%)
pleasant composition
(-70.12%)
pleasant lighting
(-54.59%)
pleasant pattern
(2.64%)
pleasant perspective
(3.64%)
pleasant post processing
(3.93%)
pleasant reflection
(8.22%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.17%)
tastefully blurred
(-14.43%)
well chosen subject
(-30.93%)
well framed subject
(-9.43%)
well timed shot
(14.87%)
all
(-5.88%)
* 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.