Photos | Night Ride with a Spotlight
A man on a motorcycle rides through the dark with a bright spotlight shining ahead of him – the perfect way to navigate through the crowds after an electrifying rock concert at Coachella with the White Stripes and Red Hot Chili Peppers. #Lighting #Concert #2People #Crowd #Motorcycle #Guitar #Music #LED #RockConcert
BLIP-2 Description:
a man on a motorcycle in the dark with a spotlightChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
activities urban spotlight leisure rock music speaker stage arts outdoors transportation performing musician guitarist art led old white stripes junglescene coachella nature rekognition_c electronics peppers vehicle performer musical instrument night darkness lighting guitar concert crowd motorcycle
Detected Text
date
2003-04-29T11:55:02-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(16.55%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-18.58%)
harmonious color
(-4.60%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-73.97%)
intrusive object presence
(-4.93%)
lively color
(1.65%)
low light
(100.00%)
noise
(-11.33%)
pleasant camera tilt
(-8.26%)
pleasant composition
(-64.99%)
pleasant lighting
(-69.73%)
pleasant pattern
(4.44%)
pleasant perspective
(-8.53%)
pleasant post processing
(-0.64%)
pleasant reflection
(0.06%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.17%)
tastefully blurred
(-37.70%)
well chosen subject
(-11.56%)
well framed subject
(-41.24%)
well timed shot
(-5.49%)
all
(-10.71%)
* 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.