Photos | Captain Douglas Rocks Coachella
Entertainer Captain Douglas serenades the crowd under a blue sky at the 2007 Coachella music festival, accompanied by his trusted electrical device and five microphones.
BLIP-2 Description:
a man in a white shirt and hat is singing into a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
instrument cap sunday device recreation singing musician sky plant tree coachella wristwatch accessories performing performer yamaha baseball outdoor performance jewelry glasses crowd musical singer solo leisure activities concert music entertainer electrical © captain douglas arts hat art microphone coachella_sunday necklace
iso
100
metering mode
5
aperture
f/2.8
exposure bias
2
focal length
70mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-04-29T16:23:49-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.44%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.32%)
harmonious color
(-0.99%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(23.52%)
intrusive object presence
(-35.35%)
lively color
(-2.14%)
low light
(4.08%)
noise
(-0.68%)
pleasant camera tilt
(-7.39%)
pleasant composition
(-40.33%)
pleasant lighting
(-18.70%)
pleasant pattern
(2.44%)
pleasant perspective
(12.63%)
pleasant post processing
(-0.54%)
pleasant reflection
(0.39%)
pleasant symmetry
(0.81%)
sharply focused subject
(3.13%)
tastefully blurred
(15.89%)
well chosen subject
(-15.60%)
well framed subject
(52.69%)
well timed shot
(40.33%)
all
(3.90%)
* 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.